35 Burst results for "Kato"

Jimmy Frattiano and the Two Tonys

Gangland Wire

01:33 min | 4 months ago

Jimmy Frattiano and the Two Tonys

"To tony's came out from kansas city. That's what caught my eye on this. I was noodling around looking for stories and interesting stories on the internet. And i kind of knew about this. But i'd forgotten about it. They were kind of minor mob guys in kansas city. Their real names for anthony ran kato and anthony. Joseph trombley know. These guys are kansas city and they really were just muscle for hire who had been arrested many times in kansas city. And like you know ambitious. Young men in the fifties. They might want to go to california to be aware the street. You're paid with gold out there. In hollywood sleep with those hollywood stars and and make a lot of money and and really take their their act to someplace where the police didn't know they. They chicago outfitted already. Kind of put The boston place out there. A guy named jack dragana. Who was a boston and these guys show up and they probably had some. Somebody had gotten hold of somebody and said hey these two dudes are coming out. They're tough guys and and maybe you can use them. They're looking for work and renate some muscle. I got out there and they became part of mickey cohen's crew. Mickey cohen was a gambler and was had been connected with the East coast mafia for a long time. And he'd move out to los angeles and had a book going out there. A sportsbook is making money maker for the mom and so he. He took these two guys in to muscle people. You know somebody odi money or he thought somebody wannabes. Bookies was cheating ninety way he could send syndrome beano brand the two tonys out and and muslim

Kansas City Joseph Trombley Anthony Mickey Cohen Jack Dragana Kato Hollywood Tony Boston California Chicago East Coast Los Angeles
Maricopa County, Arizona Holding Meeting Monday to Refute Audit Allegations

Gaydos and Chad

01:39 min | 7 months ago

Maricopa County, Arizona Holding Meeting Monday to Refute Audit Allegations

"Capitol. But the public wasn't there. They got an update on the audit. Katya years, Peter say more begins our live team coverage in the news center Becky to Republican State Senate leaders would on Lee Live Stream their meeting in which they asked three leaders for an update of the audit of Maricopa County's 2.1 Million November ballots. Liaison Ken Bennett says the county is refusing to answer questions. As far as China. Custody is the documentation of the chain of custody between when the ballots or boxes in the ballots boxes with mallets in them started. Be filed away in their warehouse on Twitter. America to County responded the On Lee time We moved. The balance was when we loaded them in a truck to deliver to the Senate in early March, then heard the Senate wasn't ready to receive them back in the vault. They went War at six Reporting live Peter Same or Katie Air News. The Arizona on it quickly is turning into a national joke, but one lawmaker says it won't be funny with somebody gets hurt. Katia years. Deborah Gayle joins us live in the news center to explain people saying that they're gonna hurt much less kill public servants. It's gotten out of hand. In an exclusive interview with Katya Rs, Kato's and Chad. Maricopa County Supervisor Clint Hickman says that he and his family have been receiving threats online and at least one of the tweets. Escalated. That man came to my house on a Sunday night with 100. Other people and I had sheriff's office protection because I heard they were coming and they got out of their cars and they came to my house and to me threatened my family where we live. Hickman says That man is threatening to return to his home, and he says he's been getting threats since December. Reporting live. Deborah Jael, Katya our news.

Lee Live Ken Bennett Senate Maricopa County Katya Peter Same Katie Air News Deborah Gayle Becky Katya Rs Peter Clint Hickman Katia China Twitter America Arizona Kato Chad Hickman
Therapy Bunny at Ballpark Brings Smiles and Is Instant Hit

AP News Radio

00:45 sec | 7 months ago

Therapy Bunny at Ballpark Brings Smiles and Is Instant Hit

"Even the announcers notice the bunny it's not small either that's a big fella tape from Major League Baseball the big golden color therapy bunny named Alex was at the giants game with owner K. Kato and Josh Rowe yeah Kato lost her brewery restaurant during the pandemic she tells the AP the big body helps her deal with the anxiety and the stress of no longer having our main source of income and fulfillment Alex also helps others he's a lions club international ambassador Alex has become an instant Twitter sensation I'm at Donahue

K. Kato Josh Rowe Alex Major League Kato Baseball Giants Twitter Donahue
Dallas County reports 11 COVID-19 deaths, 292 coronavirus cases

Jim Bohannon

00:21 sec | 8 months ago

Dallas County reports 11 COVID-19 deaths, 292 coronavirus cases

"Today and 11 more deaths. All of those who died had underlying high risk health conditions, Dallas County Judge Clay Jenkins reported. 97 reported deaths for the week, which is a decrease from the previous week. Meanwhile, in Tarrant County, two more deaths and 236 new cases were reported. 43 year old. Fifth grade teacher, Misty Lorraine Kato remains in

Judge Clay Jenkins Dallas County Tarrant County Misty Lorraine Kato
Inside The Dallas Mavericks Roller Coaster Season

The Lead

02:02 min | 8 months ago

Inside The Dallas Mavericks Roller Coaster Season

"Today. the tim kato on why. The mavericks have had such a roller coaster season but why they shouldn't be underestimated. They still have luka doncic. And if you're in a series and have the best player on the court and luca dodgers certainly has that ability. You always have a chance to win. The i'm under scotto. It's tuesday march thirtieth and this is the lead it felt like something great african emotion. Another past because you m seen. This isn't a story rear every the app athol it stays with you him. I wanted to start the story back in august of twenty twenty when luka doncic hit that epic game winning shot against the clippers. Down in the bubble i. Can you just help us relive that moment. Yeah lucas going to have so many moments in his career and if there was a first one there was one moment where you know. He put himself on that stage. You've got to play to make right now. This team wants a chance to win this ball game and say this is what i can do. This is the type of shots. I hit back to dodge dodgers pulls up three pointer. Good wins the game at the buzzer. Shot like this go back. All the way to his european career and even his rookie season with the mavericks. He was a clutch shot hitter. But you know to to hit a game winning. Walk off the floor. Layoff buzzer beater. That's something different starches. Masterpiece is complete. The mavs ended up losing that series to the clippers. But is it fair to say that. With the way that luca and the mavs played in that series that there was a new sense of excitement and possibility around this team. Coming into twenty twenty one. Yeah i think there was absolutely excitement that was generated from luca hitting the shot see did in having the season he

Luka Doncic Tim Kato Luca Dodgers Scotto Mavericks Dodge Dodgers Clippers Lucas Mavs Luca
Stepfather Arrested In Death Of 10-Year-Old New York Boy In Harlem Apartment Building

710 WOR Programming

00:29 sec | 9 months ago

Stepfather Arrested In Death Of 10-Year-Old New York Boy In Harlem Apartment Building

"Victim's stepfather, 34 year old Ryan Kato, is accused of causing the bruises all over 10 year old age and Wolf's body, ultimately resulting in the boy's death. Just after 2 P.m. Saturday, cops responded to an assault call of the fourth floor apartment inside the Saint Nicholas houses on one 31st Street. Authorities say someone was trying to revive the boy. When they arrived. The victim was pronounced dead at Harlem Hospital Governor Cuomo reiterating he will not resign over allegations of misconduct, saying to do so would be

Ryan Kato Saint Nicholas Houses Wolf Harlem Hospital Cuomo
WHO expert panel recommends wide use of AstraZeneca COVID vaccine

UN News

01:02 min | 10 months ago

WHO expert panel recommends wide use of AstraZeneca COVID vaccine

"World health organization or who. Expert panel has countered concerns over the efficacy of the astrazeneca covid vaccine and urged countries to use it including those where variants of surfaced the development follows the recent release of data from study in south africa indicating that the astra zeneca jab provided little protection against a variant of the new corona virus among older people at a press conference in geneva of the strategic advisory group of experts on immunisation or sage. Dr kato brian. Who's head of immunization said that. The study's findings were inconclusive. And she explained that. The highest impact to the astrazeneca vaccine had been among the most poorly patients. For all of the vaccine's there is a gradient of response. The highest response is against the most severe disease and then somewhat lower efficacy for moderate and then further down for mild disease so given only evidence on mild and moderate disease. We would expect that whatever the efficacy is. It would be higher against severe disease than than mild and moderate

Astrazeneca Dr Kato Brian World Health Organization Astra South Africa Geneva Mild Disease
Chicago Teachers Union agree to reopening deal for in-person learning

This Morning with Gordon Deal

00:26 sec | 10 months ago

Chicago Teachers Union agree to reopening deal for in-person learning

"Progress and getting schools open again for students in Chicago is the teacher's union votes in favor of a tentative covert 19 safety plan. 67% of Chicago teachers union members voted to reopen that plan would allow pre K and special needs students to return tomorrow, while Kato eight students will transition to in person learning by March 8th teachers instead. We'll have a chance to get the vaccine before returning and accommodations will be made for those with medically compromised household

Chicago Teachers Union Chicago Kato
Reviewing Dapagliflozin For Chronic Kidney Disease With Dr. Jennifer N. Clements

iForumRx.org

03:18 min | 10 months ago

Reviewing Dapagliflozin For Chronic Kidney Disease With Dr. Jennifer N. Clements

"In the commentary wrote for i former ex. You reviewed the study entitled deputy flows in patients with chronic kidney disease which was published in the new england journal of medicine in late september. Two thousand and twenty. And while i think everyone in our audiences should read the paper for themselves. We provide a link to the paper on her. I former x website. But can you give us a brief synopsis of the study methods and results. The data stay k. D. trial was an international double blind placebo. Controlled trial conducted to assess the efficacy and safety of day Ten milligrams orly once-daily among participants with chronic kidney disease with or without type two diabetes to elaborate on chronic kidney disease participants had macro albumen urea and stage two through four kidney disease following one. To one random association each group received stable doses of either an ace inhibitor or arb for at least four weeks. The primary outcome was composite endpoint of a time to event analysis and included declined of gfr fifty percent in stage kidney disease and reno or cardiovascular death. There was a secondary composite outcome. In this included the primary outcome with cardiovascular death or hospitalization for heart failure when looking at baseline characteristics both groups were similar in terms of age females race. Gfr as far as cardiovascular disease and standard of care the gfr main was about forty three and a majority of these participants could be classified as stage three. B in addition thirty seven percent of these participants had cardiovascular disease and ninety eight percent. Did receive the ace inhibitor. Or a are now after three years dabba cliff flows and reduce the primary composite outcome by thirty nine percent with a benefit. Sharon individual outcomes of decline jeff for fifty percent in stage kidney disease and long-term dialysis as saying other trials with dabba gla flows in. There was a reduction of nine percent in the composite of cardiovascular endpoint of cardiovascular death or hospitalization for heart failure now discontinuation was low and similar between both groups. But it's important to look at some safety outcomes volume. Depletion was statistically higher with dabba in than placebo even though there was no statistically significant finding placebo group did have a higher percentage of participants experiencing a reno related adverse event than compared to flows in and lastly there was no cases of you. Glycemic kato acidosis among those. That received

Chronic Kidney Disease Cardiovascular Death Kidney Disease New England Journal Of Medicin Cardiovascular Disease Heart Failure Diabetes Reno Sharon Jeff
Young Chicago students begin return to classroom learning

The World

01:54 min | 11 months ago

Young Chicago students begin return to classroom learning

"Chicago public school students came back to their school today, but another 72,000 our cue to return in a few weeks. Schools chief Janice Jackson says she's excited about in school instruction. Really happy to see our students, our youngest students some of our most vulnerable students here today, learning because they deserve a quality education, But Jackson's plans are facing some headwinds. Today. Some teachers and staff stayed home. They face losing pay being black from their virtual classroom and eventually fired. Kato Rourke is among them. She teaches a preschool class of special education students. We also have to fight back and say no. Not yet. Not until our schools and communities are ready, and we have a plan we can trust. Aurore says She doesn't feel safe going to schools When community positivity rate ours high is 16%. And she says not one of her students signed up for in person Learning school District officials haven't yet provided numbers on how many staff defied orders to come to school today. But as administrator try to bring more students and staff into schools over the next few weeks, they need support from the teacher's union. Otherwise, the school system could face a possible strike. Still, some principals and teachers are trying to make the best out of the situation here. A dog's elementary on the southwest side of the city teacher Eileen Martens, start out her afternoon preschool session by explaining to the three year olds how things will be different. I know when you're excited to see your friends or teachers. Sometimes you want to give a hug, but we can't do that this year. So we're going to go like this 123 good job marching thrust her hand into the air, giving her students in air high five and the three year olds sitting behind plastic screens on each of their desks and wearing masks. Give her an air high five back. For NPR news as Sarah Carp in Chicago.

Chicago Public School Janice Jackson Kato Rourke Aurore Jackson Eileen Martens Npr News Sarah Carp Chicago
Show 46 "1992 Comedienne of the Year"     Cathy Ladman - burst 02

Standup Comedy "Your Host and MC"

02:12 min | 1 year ago

Show 46 "1992 Comedienne of the Year" Cathy Ladman - burst 02

"I would open for jay and road and Which were great gigs. Because he's audiences fantastic and he initially. He was doing two hours and twenty minutes. Wow which is insane. And then we cut it back for an hour and a half. Yeah he is just a comedy machine. When it comes to stand up in fact He still loves getting out in doing long sats in the as the material for it and i can totally understand that you enjoyed opening for him because like j. Your very talented manala gist but clean as well and i think the two of you would be a terrific team. Onstage a trumpet. Yeah yeah. That's that's a better term complementary to each other yes Not not not that. We pay so the compliments. No the kato compliment but But i remember this one time i was opening for jay south of chicago and it was such a was like labor day weekend. Something in there was such horrible traffic. I was stuck in traffic. I ended up getting to the theater. Like like fifteen minutes or twenty minutes before i get on stage and i was and i was you know i was grinding from travelling and i tried to i was i had a shower in my dressing room and i. I opened the shower curtain towel and getting ready and opened the shower curtain. And there's like no handle to turn on the water and was just like a like a like a pipe sticking out and i'm like going around back they'd have meet alone those fires and nobody had been and so i ended up to sewing on stage like dirty from and just putting on my clothes and i had one of the best shows i ever had because my defenses are so down i just you know not everything was going my way and just had a roll with it and it was just such a great audience. My god

Nightclub Stand-Up Comedy Kathy Landman Kathy New York Facebook New York City Jerry Seinfeld California Manala Gist Jay South JAY Chicago
Victim Shot In Back In Yet Another Paintball Attack In Chicago

WGN Showcase

00:29 sec | 1 year ago

Victim Shot In Back In Yet Another Paintball Attack In Chicago

"Paintball paintball shootings rather across the city. One was at Walgreens. Please took five paintball guns and bags of paint balls, which they think are tied to atleast seven attacks Officer Ernest Kato. There's nothing fun about this. Let's be clear with it. What what the use of these their weapons. It's a malicious act. You're going to treat these paint guns like they're regular guns like they think to shoot real bullets. There are reports of 125 people being shot with paintballs, some even losing an eye. Starting

Officer Ernest Kato Walgreens
Dr. Mark Hoffman, Research Associate Professor at the University of Missouri, Kansas City - burst 01

Scientific Sense

44:57 min | 1 year ago

Dr. Mark Hoffman, Research Associate Professor at the University of Missouri, Kansas City - burst 01

"Welcome to the site of accents podcast. Where we explore emerging ideas from signs, policy economics, and technology. My name is Gill eappen. We talk with woods leading academics and experts about the recent research or generally of topical interest. Scientific senses at unstructured conversation with no agenda or preparation. Be Color a wide variety of domains red new discoveries are made. and New Technologies are developed on a daily basis. The most interested in how new Ideas Affect Society? And, help educate the world how to pursue rewarding and enjoyable life rooted in signs logic at inflammation. V seek knowledge without boundaries or constraints and provide unaided content of conversations bit researchers and leaders who low what they do. A companion blog to this podcast can be found at scientific sense dot com. And displayed guest is available on over a dozen platforms and directly at scientific sense. Dot? Net. If you have suggestions for topics, guests at other ideas. Please send up to info at scientific sense dot com. And I can be reached at Gil at eappen Dot Info. Mike yesterday's Dr Mark Hoffman, who is a research associate professor in the University of Minnesota Against City. He is also chief research inflammation officer in the children's Mussa hospital in Kansas City. Kiss research interests include health data delayed indication sharing initialisation Boca Mark. Thank you for inviting me. Absolutely. So I start with one of your papers Kato you need the use by our system implementation in defy date data resource from hundred known athlete off my seasons. So Michio inflicted. Data aggregated for marketable sources provide an important resource for my medical research including digital feel typing. On. Like. Todd beat to from a single organization. Guitar data introduces a number of analysis challengers. So. So you've worked with some augmentation log and in almost all cases be used. Data coming from that single macy's listen primary care behavioral. Or specialty hospitals and I always wondered you know wouldn't be nice. Get a data set. That sort of abrogates data from the radio on-ice. Asians but a lot of different challenges around that. So you wanted to talk a bit about that. I'd be happy to the resource that we've worked with. Is primarily a called health fax data resource. It's been in operation for almost twenty years. And the the the model is that organizations who are. Using these Turner Electronic. Health. Record. Enter into an agreement was turner they agreed to provide data rights to sern are. The identifies the date of affords aggregated into this resource. And certner provides data mapping, which is really critical to this type of work. It also the aggregate the data. And for the past probably six years. Then, they provide the full data set to especially academic contributors who want to do research with that resource. And I've been on both sides of that equation Lead that group during my career there, and then now I have the opportunity to really focus research on that type of data. So before we get into the details smog so e Itar Systems. So this is. Essentially patient records. So he gets dated like demographics out family history, surgical history hats, medications, lab solves it could have physician nodes no snow. So it's it's a combination of a variety of different types of data, right? A couple of things on the examples you gave it includes demographics. Discreet Laboratory results Medication orders. Many vitals so If access the blood pressure and pulse data. It does not include text notes because those can't be. Automatically identified consistently. So. We don't have access currently to TEX notes. Out of an abundance of caution. That his Hobby Stephen, physician writes something down they could use names they could use inflammation that could then point back to their. Patients Makita Perspective been the data's aggregated, the primary issue shoe that date has completely the identified, right? Correct. So. So yeah. So the data that we receive there's eighteen identifiers. Hip requires be removed from data. And those include obvious things like name address email addresses are another example One of the. Things. That is also part of the benefit of working with this particular resource. The. Dates of clinical service are not allowed to be provided under hip. White is done with this resource that allows us to still have a longitudinal view is. For any given patient in the data set the dates are shifted by A. Consistent. Pattern that for any given patient it can be. One two three four five weeks forward or one, two, three, four or five weeks backward. But that preserves things like day of the week effect. So for example, you see -nificant increase in emergency department encounters over weekends and you don't WanNa lose. Visibility to that. but it also allows us to receive. Very, granular early time stamped events in so. We can gain visibility into the time that a blood specimen was collected, and then the time that the result was reported back. And so we're able to do very detailed analyses with this type of resource. Right right and I don't know the audience our market is fragmented. Tau himself e Amorebieta providers out there. and so two issues. One is sort of. Standardization as to how these databases are designed and structured and others even that standardization that the actual collection of the data. In itself is not standardized played. So vk CAV vk potentially lot inability coming from different systems. Correct and that's part of what the paper that you mentioned Evaluates so. Often, night you out in the field in conferences you hear. Comparisons kind of lumping all organizations using one. Vendor lumping all using another together but as you get closer to it, you quickly learn that. It's not even clear. It's within those. Vendor markets. There's variation from organization to organization in how they use the e Hr and so. Because the identities of the. Contributing organizations are blinded to those of us who work with the data. We have to be creative about how we. Infer those implementation details, and so with this paper, we describe a couple of methods that We think move things forward towards that goal. Yes. So I'm not really familiar with that. So you mentioned a couple of things here. One is the the merge network. So this initiative including electric medical records and genomics network and pc off net the national patient, centered clinical research network support. Decentralized analyses that goes disparate systems by distributing standardized quotas to site. So this is a situation where you have multiple systems sort of. Communicating with each other and this net folks at allowing to sort of quickly them In some standardized fashion. So In this type of technology, there's janitorial core models. One is the. Federated or distributed model, the other is a centralized data aggregation. So there are examples including those that are mentioned in the paper where. Queries are pushed to the organization and. They need to do significant work upfront to ensure that there are standardizing their terminologies the same way. And once they do that upfront work than they're able to perform the types of queries that are distributed through those. Federated Networks. With. Okay. So that just one click on so that the police have standardized. So all on the at Josh site, then they have like some sort of a plan slater from from Stan Day squatty do all the data structure. And in many cases, they work through an intermediate technology. that would be. In general, consider it like a data warehouse. And so the queries are running against the production electric. Health record. That has all kinds of implications on patient care where you don't want to slow down performance. By using these intermediaries They can receive queries and then Follow that mapping has occurred. Than, they're able to to run those distributed queries. Okay. And the other model is You know. You say the g through the medical quality, improvement consortium and sooner to the health facts initiative. So this says in Sodas case, for example, in swags. This is essentially picking up data from the right deals, clients and Dan standardizing and centralizing data in a single database is that that is correct. One benefit of that model is that Organizations who for example, may not be academic and don't have the. Resources to do that data mapping themselves by handing out over that task over to the vendor you get a broader diversity of the types of organizations so you can have. A safety net hospitals you can have. Critical access rural hospitals, and other venues of care that are probably under represented in some of those. More academically driven models. And clearly the focus on healthcare about I would imagine applications in pharmaceutical out indeed to right I. Don't know if it s use and bad direction there has been some were performed with these data resources to. Characterize different aspects of medications, and so it does have utility in value. In a variety of. Analytical contexts. I was thinking about you know a lot of randomized clinical trials going on into Kuwait context and One of the issues of dispatch seem development toils that are going on that one could argue the population there are not really well to percents. it may be number by Auditees, men, people that deputy existing conditions. and. So he will serve at my come out of facedly trial. granted might work for the population. Tried it minority have sufficient? more largely. So I wanted this type of well I guess we don't really have an ID there right. So clearly, you don't know who these people are but they could be some clustering type analysis that might be interesting weight from It's very useful for Health Services Research and for outcomes research for you know what I characterize digital phenotype being. they can then guide. More, more formal research. you know you can use this type of resource to. Make sure. You're asking a useful question and make sure that there's likely to be. Enough patients who qualify for given study. Maybe you're working on a clinical trial in your casting your net to narrow you can. Determine that with this type of data resource. And is the eight tiff date who has access to it typically. So for this data resource on, it's through the vendor so. You need to have some level of footprint with them. which is the case with our organization. They're definitely a broadening their strategies. So they're. Gaining access into health systems that aren't exclusively using their electronic health records so. It's exciting to be a part of that that process. and to again work with them to. Analyze the data. I think. To the example you gave a formal randomized trials. In key part of what were growing our research to focus on is because this is real world data. You learn what's happening in practice whether or not it's well aligned with guidelines or formal protocols. And doing that there's many opportunities for near-term interventions that can improve health outcomes simply by. Identifying where providers may be deviating more from. Best Practices in than taking steps through training and education to kind of get them back towards those best practices. This data is a fresh on a daily basis. It's not. It's because it's so large and bulky? Typically we've received it on a quarterly basis in since it's retrospective analysis that's not been a major barrier. But. mechanistically, on onto soon aside is data getting sort of picked up from this system that it's harvested every day and then it's aggregated bundled and distributed on A. On a different timescale. Okay okay. So. From again, going to the, it's our system designed issue and implementation You say many HR systems comprised of more news at specific clinical processes or unit such as Pharmacy Laboratory or surgery talked about that. But then then people implement them this of fashion right they they implement modules by that can be a factor or sometimes they may want. One vendor for their primary electronic health record, but another vendor for their laboratory system. and so that's where you don't see a hundred percent usage of every module and every organization. And detailed number of different you know sort of noise creating issues in data one. This is icy speech over from ICT denied ten. and I don't know history of this but this was supposed to be speech with sometime in twenty fifteen. That's correct. So there is A. You know. There's a date in October of Twenty fifteen where most organizations were expected to have completed that transition. When I see with researchers who aren't as familiar with the you know the whole policy landscape around `electronic health records that? you can imagine researchers who assumed that all data before that date in October is is nine and all data after that date would be icy the ten. While we demonstrate in this paper, is that that transition was not Nearly, that clean and it was a much more, you know there are some organizations who just It the bullet and completed in twenty fourteen, and there are other organizations that were still lagging. In. Two Thousand Sixteen. Potentially because they weren't as exposed to those incentives in other things that you know stipulated the transition so. Part of why were demonstrating with that particular part of that work was that. you know these transitions aren't always abrupt. Yeah and and and so that is one issue and then you know a lot of consistency inconsistency issues fade. So we see that in in single systems and one of the items note here as you know if you think about the disposition code for death. you could have a right your race supercenter, right? It's a death expire expedite at home hospice, and so on. if this is a problem for a single system, but then many think about aggregating data from multiple sources this this problem sort of increased exponentially. Absolutely. So one of the challenges with documenting and and finding where you know if a patient has A deceased that. There's just multiple places to put that documentation in the clinical record. The Location in the record that. We have found to be the most consistent is what's called discharge disposition. By as we show in that analysis, that field is not always used document that and so if you're doing outcomes research and one of your key. Outcome metrics is death. And there are organizations that. Aren't documenting death in a place that successful. You should filter those out of your analysis before moving forward. And so part of what we wanted to promote is the realization that. That's the type of consideration that needs to be made The four. Publishing. Your data about an outcome metrics like death that. You're not. If you're never gonNA see that outcome it doesn't mean that people are. Dying in that particular facility, it just means it's not documented in the place that successful. Right. Yeah. So you know you on your expedience. Unique Position Mark because you you look at it from the from the vendor's perspective you're in an academic setting you're also in practice in a hospital. What's your sense of these things improving the on a track of getting getting this more standardize or it's camping in the other direction I think in general there is improvement I think The. Over the past eleven years through various federal mandates, including meaningful use and so forth. Those of all incentive organizations to utilize. Standard terminologies more consistently than was the case beforehand. I think there's still plenty of room for improvement and You know it's it's a journey, not a destination, but I think things have improved substantially. I was wondering there could be some applications of artificial intelligence here to In a clearly TATECO systems and you'd like the most them pity human resource intensive Yvonne to get it completely right. So one question would be you know, could be actually used a Dick needs to get it maybe ninety nine percent white. And that the human deal with exceptions I definitely think that that's an exciting direction that You want those a algorithms to be trained with good data, and that's a big part of what's motivated us to. Put this focus on data quality and Understanding these strange nuances that are underpinning that date has so that. As we move towards a in machine learning and so forth. We have a high level of confidence in the data that's training those algorithms. Right. Yeah. I think that a huge opportunity here because it's not quite as broad as NFL, not natural language processing it is somewhat constrained. that is a good part of it. The back part of it is that is highly technical. and so. you know some of the techniques you know you can have a fault tolerance in certain dimensions such as you know, misspellings lack of gambling and things like that. But as you have Heidi technical data, you cannot apply those principles because he could have misspelling the system may not be able to. Get, sometimes, and that's where you know I think. It's totally feasible to use. Resources to you know when you're dealing with. Tens of millions of patients and billions of detailed records. Using a I'd even identify those patterns of either. Inconsistent data or missing data it's also very powerful just to. kind of flag in identified. Areas that need to be focused on to lead to a better analysis. Greg Wait Be Hefty. Use that information somehow did is a belt of information that you know and so it just filtering into decision processes that the are really losing it. So hopefully getting improving in that dimension I've jumping to another paper bittersweet interesting. So it's entitled rates and predictors of using opioids in the Emergency Department Katrina Treat Mike Dean in Young Otto's and so so this is sort of a machine learning exercise you have gone through to locate you know coup is getting prescribed. OPIOIDS water the conditions for the Democrat not Nestle demographics but different different maybe age and things like that gender. and and then ask the question desert has some effect on addiction. In the long term rights. So that project To great example of team science though. We. Assembled a team of subject matter experts in neurology pain management. And Data Science and. The neurologist and pain management experts. Identified an intriguing question that we decided to pursue with data. In their question was. Based on anecdotal observation and so we thought it'd be interesting to see how well the data supported that. Observation is that. for youth and young adults Treated or admitted into the emergency. Department. With a migraine headache that. All too often they were treated with an opioid. And so we Use the same day to resource that we were discussing earlier. To explore that. Question. And using data from a hundred and eighty distinct emergency departments. We found that on average twenty, three percent of those youth and young adults were treated with. An opioid medication while they were in the emergency department. In general, it should be almost zero percent in general. There's really Better medications to us, four people presenting with a migraine. and. So this fits into obviously the OPIOID crisis it. it demonstrates the. Scenario describing that. You know using real world data. You can identify patterns of clinical behavior that. Don't match guideline. And the good news is that the? correctable and so through. Training and communication there's great opportunity to. To, manage this. Really. Striking. So fifteen thousand or so inevitably the encounters. And nearly a quarter of this encounters you say involved inoculate. and these are not just Misha and Congress right. It is not filtered down to migraine encounters. Okay. Okay. So these fifteen thousand just might in encounters might vein being repeating disease So once you. If you make a statement and. This or not Easter conditioning issue here. So you get your pain, you go to an emergency department and you get treated with an opioid you get quick tactical relief. From pain. auditing condition expect that in the next episode. So you can say we didn't pursue that particular question, but that is Definitely key part of. Managing the OPIOID crisis is that drug seeking behavior and so Part of our goal was to quantify that and use this as an opportunity to educate providers that. You really shouldn't be treating migraines with an opioid in there are better alternatives and. So we we felt that this was an important contribution to that national dialogue, but we didn't specifically pursue the question of whether the patients we analyzed. Within. Encounter show up Subsequently. With the same symptoms. Right right. Yeah you it develop into period when problematic patterns of drug use comedy. FEST MERGE THE PREVALENCE RATE OF OPIOID misuse estimated to be two to four percent and debts in each goofy just young adult drew from overdoses are rising. and. You say that literally prescribe IOS has been slumping loose future opioid misuse by thirty three percent. Betas Mehta say really huge number. I think just validates the importance of this of this work. Interesting mark. I don't know you exploded on data. Last the question if you look at the aggregate data, it'd be flying opioid. Misuse. what percentage of the total number. Actually started from. You know some sort of medical encounter has mike or some sort of. related encounter that could be completed otherwise was three a bit opioid. in that encounter documented resulted in that misuse. So what so If you look at the active misuse problem that we have today. do you have a sense of what percentage of that goal is actually started I? Think the exciting thing about this type of research is for everyone questioned that you pursue you have. You have ten new that you can pursue. We haven't. Delved into that specific area, but it's It's very ripe for further analysis and A considerable part of where I end my colleagues and our time as. We do this type of work to get an initial analysis published. And then You know in my leadership role I just WANNA. support people like my colleagues on this paper Mark Connelly Jennifer Bickel. in in using data to. Support their research into identify those follow. I mean, he tests policy implications. So it's sweet important work. and. If you find it direct relationship here than you have to ask you know from from a medical perspective what is right intervention? maybe is not just added of care just best practice but clearly should be the bay You know things should be looked at you say you're American Academy of Neurology has included avoidance of using opioid to treat gain one of stop top flight choosing wisely recommendations. For high-value duck in this gives Really evidence to to support that. The other thing that's really intriguing is this level of variation from site to site in. Some Sun facilities are very much aligned with the guidelines. Others are at the you know well, above twenty three percent. And that gives an opportunity for a really precision. conversations about you know, where does our organization stand on that spectrum? Yeah that's a that's an interesting avenue to right. So you know one could ask he says some sort of push sliced Intervention if we can fly goal of patients who who had gone an opioid sexually don't have an addiction problem. that as you know Anna, the kofoed does. if you can fly those type of patterns than you can think about. A customized within electronic health record systems. There's. The ability to provide decisions poor. There's certainly phenomena called pop up fatigue were physicians. You know they don't like having so many pop up windows but at the same time. It's Within the capability of an e e Hr to do that if then logic if patient has. migraine medication order equals opioid. encourage the provider to pause and reconsider that. Right, right and so this is supervised machine learning type analysis where so you have. you have number features that comes directly from each else. So each sex race ethnicity. insurance type. Encounter prostate suggest duration. time of the year and so on. and you have labeled data in this case I guess you have able tater because you would know if op- inscribed on trade. Okay and so are the two questions here. One is to ask the question given a new patient and those features. you could assign a probability that that patient will be prescribed will. Definitely. Impress the data from that predictive Minds. Right and then can you so that data definitely tell you if the patient is going to progress into some sort of an addiction issue. So. Earn Predicting Substance Abuse. So. Yeah. Yeah. Yeah. There's additional diagnosis codes that document. whether a patient has a history of substance abuse disorder. and. So it would be feasible to. Identify the with those diagnosis codes in than really look at their prior history. Of What other conditions were they treated for? What medications were they give in? to develop that model. One of the things in this case that helped with this study is that just in general, it's not advised get. So there are other things that are much more of a gray area. Or whether opioid is as useful, but in this case. The really not. Considered. To be helpful for migraines compared to other options and so that help us have a fairly clear cut scenario to do this work. Yeah. This this won't be the data like you say once you do something like this, you have been other things you could. You could stop asking. So unquestioned that that been to my mind as you know, how did they hugged the actually prescribing opioids? Is it the patient asking for it all so? Off that was another scoping thing with this project is focused on what happens within the emergency. Room. So it's it's. Really, medication order in administration that happens. In that emergency room setting. Whether or not the patient. was. Requesting that you know if they came in and said, this has worked for me before. Can I have it again? we don't have visibility to that. Right. Right. And so from a practical perspective So the the analysis that you did slightly ended up with the Family Clyde power we think it is. Compelling. Pretty compelling. So as as a new patient gets into e D either high. and what I mean by that probably is if there is a history of substance abuse property. the physician has really think twice about. The use of may be the well, and in this case, even without that history. Just because it's not considered to be an effective treatment. You know encouraging them to pause in that decision making. In this particular case is as effective as wall. Right. So looking forward. In if you think about both of these issues, one is the data quality data aggregation data standardized recent problem in the the right of Utah Systems have did that the talked about? And then if we can get to a level that we can look at cross a large data set. Beacon, ask. More. US specific questions, treatment. Optimum treatment type questions. subpoenaed. US The mark big think B be hunting. Certainly, the volume and variety of data that we're able to work with will be even greater I, think the. Opportunity To. Look, holistically at how upstream data capture. Effects Downstream data. Analysis. example I frequently give is if we have a Aggregate Data said we identify. Ten patients whose way in that data such shows up as being. Something that's completely infeasible. let's say they're documented is being. Fifty year old person who weighs two pounds. Clearly air. What's important is? Creating the process to communicate that back upstream. Because that clinical decision. Support. Many drug dosing things are evaluated using weight based logic and so. That same logic that's Evaluating the appropriateness of dosage. It's going to be running against an incorrect value in that may or may not always be visible. So I really am intrigued with that holistic opportunity. In it I am I remain just we have three or four additional papers coming out. About other examples where Provider behaviors not aligned with Best Practices and I'm just excited about you know when you compare that to how long it takes to develop a new drug or how long it takes to. To a really long term research. This research has the opportunity for a pretty quick turnaround on an effective intervention. A really that. Other so much that right. Providers. been taught in a no, but they're. Not always using that in practice and so to help them. Identify, those topics in just modifying behaviors is. In the scheme of things, it's a very straightforward way to improve. So. You know the entire spectrum from essentially getting the data. Right or cleaner like you know Missa mischaracterized or miss input data like wait or something like that. To to get. Better diagnosis better treatment modalities. policies there and from a femme perspective clearly inflammation therefore clinical trials. I was even thinking about drug interaction type. Inflammation. I haven't been involved in the former de for awhile but. Typically, this type of data doesn't get back into automatic processes that fast but I think that is all I know there's strong interest in Pharma in. Working with this type of data there a again looking at real world behavior. This is an excellent resource for off label medication use at. you know where Pharma's Always interested in repurposing existing medications the. Regulatory Processes, much more straightforward for that because the safety is already been. Evaluated and so. The. Significant Opportunity With this, there's also just exciting. Patterns of you know. What are those unrecognised correlations? That's where the machine learning opportunities are really exciting where. You know we're not always asking the right question. And the data can show us what we should be. Yeah exactly. So if the machine a sort of red flags something or create hypotheses. that Cubans have missed sometimes, those types of things are extremely powerful. because maybe that sometimes it's countering tutor. and so we all look at data with an Incan bias. The beauty of machines that at least on the surface began deploy Michigan. This volume of data. Techniques like machine deep learning can recognize those subtle but consistent associations. Wait quite. Excellent. Idea this has been great mark Thanks so much time with me. I enjoyed it very much. Thank you. But

Policy Technology Economics Science Gill Eappen Mike Yesterday Dr Mark Hoffman Children's Mussa Hospital Turner Electronic Certner Migraine Inflammation Federated Networks Stan Day Squatty Michio Kato University Of Minnesota Makita GIL Federated Kansas City
Dr. Mark Hoffman, Research Associate Professor at the University of Missouri, Kansas City - burst 01

Scientific Sense

44:57 min | 1 year ago

Dr. Mark Hoffman, Research Associate Professor at the University of Missouri, Kansas City - burst 01

"Welcome to the site of accents podcast. Where we explore emerging ideas from signs, policy economics, and technology. My name is Gill eappen. We talk with woods leading academics and experts about the recent research or generally of topical interest. Scientific senses at unstructured conversation with no agenda or preparation. Be Color a wide variety of domains red new discoveries are made. and New Technologies are developed on a daily basis. The most interested in how new Ideas Affect Society? And, help educate the world how to pursue rewarding and enjoyable life rooted in signs logic at inflammation. V seek knowledge without boundaries or constraints and provide unaided content of conversations bit researchers and leaders who low what they do. A companion blog to this podcast can be found at scientific sense dot com. And displayed guest is available on over a dozen platforms and directly at scientific sense. Dot? Net. If you have suggestions for topics, guests at other ideas. Please send up to info at scientific sense dot com. And I can be reached at Gil at eappen Dot Info. Mike yesterday's Dr Mark Hoffman, who is a research associate professor in the University of Minnesota Against City. He is also chief research inflammation officer in the children's Mussa hospital in Kansas City. Kiss research interests include health data delayed indication sharing initialisation Boca Mark. Thank you for inviting me. Absolutely. So I start with one of your papers Kato you need the use by our system implementation in defy date data resource from hundred known athlete off my seasons. So Michio inflicted. Data aggregated for marketable sources provide an important resource for my medical research including digital feel typing. On. Like. Todd beat to from a single organization. Guitar data introduces a number of analysis challengers. So. So you've worked with some augmentation log and in almost all cases be used. Data coming from that single macy's listen primary care behavioral. Or specialty hospitals and I always wondered you know wouldn't be nice. Get a data set. That sort of abrogates data from the radio on-ice. Asians but a lot of different challenges around that. So you wanted to talk a bit about that. I'd be happy to the resource that we've worked with. Is primarily a called health fax data resource. It's been in operation for almost twenty years. And the the the model is that organizations who are. Using these Turner Electronic. Health. Record. Enter into an agreement was turner they agreed to provide data rights to sern are. The identifies the date of affords aggregated into this resource. And certner provides data mapping, which is really critical to this type of work. It also the aggregate the data. And for the past probably six years. Then, they provide the full data set to especially academic contributors who want to do research with that resource. And I've been on both sides of that equation Lead that group during my career there, and then now I have the opportunity to really focus research on that type of data. So before we get into the details smog so e Itar Systems. So this is. Essentially patient records. So he gets dated like demographics out family history, surgical history hats, medications, lab solves it could have physician nodes no snow. So it's it's a combination of a variety of different types of data, right? A couple of things on the examples you gave it includes demographics. Discreet Laboratory results Medication orders. Many vitals so If access the blood pressure and pulse data. It does not include text notes because those can't be. Automatically identified consistently. So. We don't have access currently to TEX notes. Out of an abundance of caution. That his Hobby Stephen, physician writes something down they could use names they could use inflammation that could then point back to their. Patients Makita Perspective been the data's aggregated, the primary issue shoe that date has completely the identified, right? Correct. So. So yeah. So the data that we receive there's eighteen identifiers. Hip requires be removed from data. And those include obvious things like name address email addresses are another example One of the. Things. That is also part of the benefit of working with this particular resource. The. Dates of clinical service are not allowed to be provided under hip. White is done with this resource that allows us to still have a longitudinal view is. For any given patient in the data set the dates are shifted by A. Consistent. Pattern that for any given patient it can be. One two three four five weeks forward or one, two, three, four or five weeks backward. But that preserves things like day of the week effect. So for example, you see -nificant increase in emergency department encounters over weekends and you don't WanNa lose. Visibility to that. but it also allows us to receive. Very, granular early time stamped events in so. We can gain visibility into the time that a blood specimen was collected, and then the time that the result was reported back. And so we're able to do very detailed analyses with this type of resource. Right right and I don't know the audience our market is fragmented. Tau himself e Amorebieta providers out there. and so two issues. One is sort of. Standardization as to how these databases are designed and structured and others even that standardization that the actual collection of the data. In itself is not standardized played. So vk CAV vk potentially lot inability coming from different systems. Correct and that's part of what the paper that you mentioned Evaluates so. Often, night you out in the field in conferences you hear. Comparisons kind of lumping all organizations using one. Vendor lumping all using another together but as you get closer to it, you quickly learn that. It's not even clear. It's within those. Vendor markets. There's variation from organization to organization in how they use the e Hr and so. Because the identities of the. Contributing organizations are blinded to those of us who work with the data. We have to be creative about how we. Infer those implementation details, and so with this paper, we describe a couple of methods that We think move things forward towards that goal. Yes. So I'm not really familiar with that. So you mentioned a couple of things here. One is the the merge network. So this initiative including electric medical records and genomics network and pc off net the national patient, centered clinical research network support. Decentralized analyses that goes disparate systems by distributing standardized quotas to site. So this is a situation where you have multiple systems sort of. Communicating with each other and this net folks at allowing to sort of quickly them In some standardized fashion. So In this type of technology, there's janitorial core models. One is the. Federated or distributed model, the other is a centralized data aggregation. So there are examples including those that are mentioned in the paper where. Queries are pushed to the organization and. They need to do significant work upfront to ensure that there are standardizing their terminologies the same way. And once they do that upfront work than they're able to perform the types of queries that are distributed through those. Federated Networks. With. Okay. So that just one click on so that the police have standardized. So all on the at Josh site, then they have like some sort of a plan slater from from Stan Day squatty do all the data structure. And in many cases, they work through an intermediate technology. that would be. In general, consider it like a data warehouse. And so the queries are running against the production electric. Health record. That has all kinds of implications on patient care where you don't want to slow down performance. By using these intermediaries They can receive queries and then Follow that mapping has occurred. Than, they're able to to run those distributed queries. Okay. And the other model is You know. You say the g through the medical quality, improvement consortium and sooner to the health facts initiative. So this says in Sodas case, for example, in swags. This is essentially picking up data from the right deals, clients and Dan standardizing and centralizing data in a single database is that that is correct. One benefit of that model is that Organizations who for example, may not be academic and don't have the. Resources to do that data mapping themselves by handing out over that task over to the vendor you get a broader diversity of the types of organizations so you can have. A safety net hospitals you can have. Critical access rural hospitals, and other venues of care that are probably under represented in some of those. More academically driven models. And clearly the focus on healthcare about I would imagine applications in pharmaceutical out indeed to right I. Don't know if it s use and bad direction there has been some were performed with these data resources to. Characterize different aspects of medications, and so it does have utility in value. In a variety of. Analytical contexts. I was thinking about you know a lot of randomized clinical trials going on into Kuwait context and One of the issues of dispatch seem development toils that are going on that one could argue the population there are not really well to percents. it may be number by Auditees, men, people that deputy existing conditions. and. So he will serve at my come out of facedly trial. granted might work for the population. Tried it minority have sufficient? more largely. So I wanted this type of well I guess we don't really have an ID there right. So clearly, you don't know who these people are but they could be some clustering type analysis that might be interesting weight from It's very useful for Health Services Research and for outcomes research for you know what I characterize digital phenotype being. they can then guide. More, more formal research. you know you can use this type of resource to. Make sure. You're asking a useful question and make sure that there's likely to be. Enough patients who qualify for given study. Maybe you're working on a clinical trial in your casting your net to narrow you can. Determine that with this type of data resource. And is the eight tiff date who has access to it typically. So for this data resource on, it's through the vendor so. You need to have some level of footprint with them. which is the case with our organization. They're definitely a broadening their strategies. So they're. Gaining access into health systems that aren't exclusively using their electronic health records so. It's exciting to be a part of that that process. and to again work with them to. Analyze the data. I think. To the example you gave a formal randomized trials. In key part of what were growing our research to focus on is because this is real world data. You learn what's happening in practice whether or not it's well aligned with guidelines or formal protocols. And doing that there's many opportunities for near-term interventions that can improve health outcomes simply by. Identifying where providers may be deviating more from. Best Practices in than taking steps through training and education to kind of get them back towards those best practices. This data is a fresh on a daily basis. It's not. It's because it's so large and bulky? Typically we've received it on a quarterly basis in since it's retrospective analysis that's not been a major barrier. But. mechanistically, on onto soon aside is data getting sort of picked up from this system that it's harvested every day and then it's aggregated bundled and distributed on A. On a different timescale. Okay okay. So. From again, going to the, it's our system designed issue and implementation You say many HR systems comprised of more news at specific clinical processes or unit such as Pharmacy Laboratory or surgery talked about that. But then then people implement them this of fashion right they they implement modules by that can be a factor or sometimes they may want. One vendor for their primary electronic health record, but another vendor for their laboratory system. and so that's where you don't see a hundred percent usage of every module and every organization. And detailed number of different you know sort of noise creating issues in data one. This is icy speech over from ICT denied ten. and I don't know history of this but this was supposed to be speech with sometime in twenty fifteen. That's correct. So there is A. You know. There's a date in October of Twenty fifteen where most organizations were expected to have completed that transition. When I see with researchers who aren't as familiar with the you know the whole policy landscape around `electronic health records that? you can imagine researchers who assumed that all data before that date in October is is nine and all data after that date would be icy the ten. While we demonstrate in this paper, is that that transition was not Nearly, that clean and it was a much more, you know there are some organizations who just It the bullet and completed in twenty fourteen, and there are other organizations that were still lagging. In. Two Thousand Sixteen. Potentially because they weren't as exposed to those incentives in other things that you know stipulated the transition so. Part of why were demonstrating with that particular part of that work was that. you know these transitions aren't always abrupt. Yeah and and and so that is one issue and then you know a lot of consistency inconsistency issues fade. So we see that in in single systems and one of the items note here as you know if you think about the disposition code for death. you could have a right your race supercenter, right? It's a death expire expedite at home hospice, and so on. if this is a problem for a single system, but then many think about aggregating data from multiple sources this this problem sort of increased exponentially. Absolutely. So one of the challenges with documenting and and finding where you know if a patient has A deceased that. There's just multiple places to put that documentation in the clinical record. The Location in the record that. We have found to be the most consistent is what's called discharge disposition. By as we show in that analysis, that field is not always used document that and so if you're doing outcomes research and one of your key. Outcome metrics is death. And there are organizations that. Aren't documenting death in a place that successful. You should filter those out of your analysis before moving forward. And so part of what we wanted to promote is the realization that. That's the type of consideration that needs to be made The four. Publishing. Your data about an outcome metrics like death that. You're not. If you're never gonNA see that outcome it doesn't mean that people are. Dying in that particular facility, it just means it's not documented in the place that successful. Right. Yeah. So you know you on your expedience. Unique Position Mark because you you look at it from the from the vendor's perspective you're in an academic setting you're also in practice in a hospital. What's your sense of these things improving the on a track of getting getting this more standardize or it's camping in the other direction I think in general there is improvement I think The. Over the past eleven years through various federal mandates, including meaningful use and so forth. Those of all incentive organizations to utilize. Standard terminologies more consistently than was the case beforehand. I think there's still plenty of room for improvement and You know it's it's a journey, not a destination, but I think things have improved substantially. I was wondering there could be some applications of artificial intelligence here to In a clearly TATECO systems and you'd like the most them pity human resource intensive Yvonne to get it completely right. So one question would be you know, could be actually used a Dick needs to get it maybe ninety nine percent white. And that the human deal with exceptions I definitely think that that's an exciting direction that You want those a algorithms to be trained with good data, and that's a big part of what's motivated us to. Put this focus on data quality and Understanding these strange nuances that are underpinning that date has so that. As we move towards a in machine learning and so forth. We have a high level of confidence in the data that's training those algorithms. Right. Yeah. I think that a huge opportunity here because it's not quite as broad as NFL, not natural language processing it is somewhat constrained. that is a good part of it. The back part of it is that is highly technical. and so. you know some of the techniques you know you can have a fault tolerance in certain dimensions such as you know, misspellings lack of gambling and things like that. But as you have Heidi technical data, you cannot apply those principles because he could have misspelling the system may not be able to. Get, sometimes, and that's where you know I think. It's totally feasible to use. Resources to you know when you're dealing with. Tens of millions of patients and billions of detailed records. Using a I'd even identify those patterns of either. Inconsistent data or missing data it's also very powerful just to. kind of flag in identified. Areas that need to be focused on to lead to a better analysis. Greg Wait Be Hefty. Use that information somehow did is a belt of information that you know and so it just filtering into decision processes that the are really losing it. So hopefully getting improving in that dimension I've jumping to another paper bittersweet interesting. So it's entitled rates and predictors of using opioids in the Emergency Department Katrina Treat Mike Dean in Young Otto's and so so this is sort of a machine learning exercise you have gone through to locate you know coup is getting prescribed. OPIOIDS water the conditions for the Democrat not Nestle demographics but different different maybe age and things like that gender. and and then ask the question desert has some effect on addiction. In the long term rights. So that project To great example of team science though. We. Assembled a team of subject matter experts in neurology pain management. And Data Science and. The neurologist and pain management experts. Identified an intriguing question that we decided to pursue with data. In their question was. Based on anecdotal observation and so we thought it'd be interesting to see how well the data supported that. Observation is that. for youth and young adults Treated or admitted into the emergency. Department. With a migraine headache that. All too often they were treated with an opioid. And so we Use the same day to resource that we were discussing earlier. To explore that. Question. And using data from a hundred and eighty distinct emergency departments. We found that on average twenty, three percent of those youth and young adults were treated with. An opioid medication while they were in the emergency department. In general, it should be almost zero percent in general. There's really Better medications to us, four people presenting with a migraine. and. So this fits into obviously the OPIOID crisis it. it demonstrates the. Scenario describing that. You know using real world data. You can identify patterns of clinical behavior that. Don't match guideline. And the good news is that the? correctable and so through. Training and communication there's great opportunity to. To, manage this. Really. Striking. So fifteen thousand or so inevitably the encounters. And nearly a quarter of this encounters you say involved inoculate. and these are not just Misha and Congress right. It is not filtered down to migraine encounters. Okay. Okay. So these fifteen thousand just might in encounters might vein being repeating disease So once you. If you make a statement and. This or not Easter conditioning issue here. So you get your pain, you go to an emergency department and you get treated with an opioid you get quick tactical relief. From pain. auditing condition expect that in the next episode. So you can say we didn't pursue that particular question, but that is Definitely key part of. Managing the OPIOID crisis is that drug seeking behavior and so Part of our goal was to quantify that and use this as an opportunity to educate providers that. You really shouldn't be treating migraines with an opioid in there are better alternatives and. So we we felt that this was an important contribution to that national dialogue, but we didn't specifically pursue the question of whether the patients we analyzed. Within. Encounter show up Subsequently. With the same symptoms. Right right. Yeah you it develop into period when problematic patterns of drug use comedy. FEST MERGE THE PREVALENCE RATE OF OPIOID misuse estimated to be two to four percent and debts in each goofy just young adult drew from overdoses are rising. and. You say that literally prescribe IOS has been slumping loose future opioid misuse by thirty three percent. Betas Mehta say really huge number. I think just validates the importance of this of this work. Interesting mark. I don't know you exploded on data. Last the question if you look at the aggregate data, it'd be flying opioid. Misuse. what percentage of the total number. Actually started from. You know some sort of medical encounter has mike or some sort of. related encounter that could be completed otherwise was three a bit opioid. in that encounter documented resulted in that misuse. So what so If you look at the active misuse problem that we have today. do you have a sense of what percentage of that goal is actually started I? Think the exciting thing about this type of research is for everyone questioned that you pursue you have. You have ten new that you can pursue. We haven't. Delved into that specific area, but it's It's very ripe for further analysis and A considerable part of where I end my colleagues and our time as. We do this type of work to get an initial analysis published. And then You know in my leadership role I just WANNA. support people like my colleagues on this paper Mark Connelly Jennifer Bickel. in in using data to. Support their research into identify those follow. I mean, he tests policy implications. So it's sweet important work. and. If you find it direct relationship here than you have to ask you know from from a medical perspective what is right intervention? maybe is not just added of care just best practice but clearly should be the bay You know things should be looked at you say you're American Academy of Neurology has included avoidance of using opioid to treat gain one of stop top flight choosing wisely recommendations. For high-value duck in this gives Really evidence to to support that. The other thing that's really intriguing is this level of variation from site to site in. Some Sun facilities are very much aligned with the guidelines. Others are at the you know well, above twenty three percent. And that gives an opportunity for a really precision. conversations about you know, where does our organization stand on that spectrum? Yeah that's a that's an interesting avenue to right. So you know one could ask he says some sort of push sliced Intervention if we can fly goal of patients who who had gone an opioid sexually don't have an addiction problem. that as you know Anna, the kofoed does. if you can fly those type of patterns than you can think about. A customized within electronic health record systems. There's. The ability to provide decisions poor. There's certainly phenomena called pop up fatigue were physicians. You know they don't like having so many pop up windows but at the same time. It's Within the capability of an e e Hr to do that if then logic if patient has. migraine medication order equals opioid. encourage the provider to pause and reconsider that. Right, right and so this is supervised machine learning type analysis where so you have. you have number features that comes directly from each else. So each sex race ethnicity. insurance type. Encounter prostate suggest duration. time of the year and so on. and you have labeled data in this case I guess you have able tater because you would know if op- inscribed on trade. Okay and so are the two questions here. One is to ask the question given a new patient and those features. you could assign a probability that that patient will be prescribed will. Definitely. Impress the data from that predictive Minds. Right and then can you so that data definitely tell you if the patient is going to progress into some sort of an addiction issue. So. Earn Predicting Substance Abuse. So. Yeah. Yeah. Yeah. There's additional diagnosis codes that document. whether a patient has a history of substance abuse disorder. and. So it would be feasible to. Identify the with those diagnosis codes in than really look at their prior history. Of What other conditions were they treated for? What medications were they give in? to develop that model. One of the things in this case that helped with this study is that just in general, it's not advised get. So there are other things that are much more of a gray area. Or whether opioid is as useful, but in this case. The really not. Considered. To be helpful for migraines compared to other options and so that help us have a fairly clear cut scenario to do this work. Yeah. This this won't be the data like you say once you do something like this, you have been other things you could. You could stop asking. So unquestioned that that been to my mind as you know, how did they hugged the actually prescribing opioids? Is it the patient asking for it all so? Off that was another scoping thing with this project is focused on what happens within the emergency. Room. So it's it's. Really, medication order in administration that happens. In that emergency room setting. Whether or not the patient. was. Requesting that you know if they came in and said, this has worked for me before. Can I have it again? we don't have visibility to that. Right. Right. And so from a practical perspective So the the analysis that you did slightly ended up with the Family Clyde power we think it is. Compelling. Pretty compelling. So as as a new patient gets into e D either high. and what I mean by that probably is if there is a history of substance abuse property. the physician has really think twice about. The use of may be the well, and in this case, even without that history. Just because it's not considered to be an effective treatment. You know encouraging them to pause in that decision making. In this particular case is as effective as wall. Right. So looking forward. In if you think about both of these issues, one is the data quality data aggregation data standardized recent problem in the the right of Utah Systems have did that the talked about? And then if we can get to a level that we can look at cross a large data set. Beacon, ask. More. US specific questions, treatment. Optimum treatment type questions. subpoenaed. US The mark big think B be hunting. Certainly, the volume and variety of data that we're able to work with will be even greater I, think the. Opportunity To. Look, holistically at how upstream data capture. Effects Downstream data. Analysis. example I frequently give is if we have a Aggregate Data said we identify. Ten patients whose way in that data such shows up as being. Something that's completely infeasible. let's say they're documented is being. Fifty year old person who weighs two pounds. Clearly air. What's important is? Creating the process to communicate that back upstream. Because that clinical decision. Support. Many drug dosing things are evaluated using weight based logic and so. That same logic that's Evaluating the appropriateness of dosage. It's going to be running against an incorrect value in that may or may not always be visible. So I really am intrigued with that holistic opportunity. In it I am I remain just we have three or four additional papers coming out. About other examples where Provider behaviors not aligned with Best Practices and I'm just excited about you know when you compare that to how long it takes to develop a new drug or how long it takes to. To a really long term research. This research has the opportunity for a pretty quick turnaround on an effective intervention. A really that. Other so much that right. Providers. been taught in a no, but they're. Not always using that in practice and so to help them. Identify, those topics in just modifying behaviors is. In the scheme of things, it's a very straightforward way to improve. So. You know the entire spectrum from essentially getting the data. Right or cleaner like you know Missa mischaracterized or miss input data like wait or something like that. To to get. Better diagnosis better treatment modalities. policies there and from a femme perspective clearly inflammation therefore clinical trials. I was even thinking about drug interaction type. Inflammation. I haven't been involved in the former de for awhile but. Typically, this type of data doesn't get back into automatic processes that fast but I think that is all I know there's strong interest in Pharma in. Working with this type of data there a again looking at real world behavior. This is an excellent resource for off label medication use at. you know where Pharma's Always interested in repurposing existing medications the. Regulatory Processes, much more straightforward for that because the safety is already been. Evaluated and so. The. Significant Opportunity With this, there's also just exciting. Patterns of you know. What are those unrecognised correlations? That's where the machine learning opportunities are really exciting where. You know we're not always asking the right question. And the data can show us what we should be. Yeah exactly. So if the machine a sort of red flags something or create hypotheses. that Cubans have missed sometimes, those types of things are extremely powerful. because maybe that sometimes it's countering tutor. and so we all look at data with an Incan bias. The beauty of machines that at least on the surface began deploy Michigan. This volume of data. Techniques like machine deep learning can recognize those subtle but consistent associations. Wait quite. Excellent. Idea this has been great mark Thanks so much time with me. I enjoyed it very much. Thank you. But

Policy Technology Economics Science Gill Eappen Mike Yesterday Dr Mark Hoffman Children's Mussa Hospital Turner Electronic Certner Migraine Inflammation Federated Networks Stan Day Squatty Michio Kato University Of Minnesota Makita GIL Federated Kansas City
Sitting down with the Kotlin Advocates

Talking Kotlin

04:59 min | 1 year ago

Sitting down with the Kotlin Advocates

"We are all develop had for Katelyn. Some of us are for areas that are better well known some of us of areas that are less known some of US offer areas that say oh. Oh, you mean that Kotlin is more than just android So talking starve aside talking Kotlin Jaaz stalking everything else that is not android and so I wanted to discuss a little bit. What life is like as a developer advocate at jeppe rains as a cotton develop advocate jeppe brains, how we work, who tells us what to do what not to do well. Before, I I would say that it was mostly we would decide and then sweater you decide now for us right? I wouldn't put it like this. No I'm just kidding. Like I know you're laughing there you're muted it doesn't make sense. I can record my life and you can after add it. On the places that you want. Yeah I'm like are we gotTA have a back? Channel on slack that I keep pressing a button that says you know now laugh and then everyone loves so this is I think to the vision death like long time ago so But anyway. So No, let's let's discuss a little bit like what what color advocacy implies. So especially, nowadays that you know a lot of times when we talk about when we talk about advocacy in general. People immediately associate that with going to conferences and giving talks and. Engaging with people in the community and stuff like that. And you know right now the situation in the world is a little bit. and. So people kind of ask me sometimes, I what do you do all day because you can't really do your work can you and we're GonNa Bust this myth right that developers are more than just about going to conferences. And to bars and to. Having Beers and and the. And the podcast yes. So what do you do? What? What do each of you do on a daily basis try to out a lot with a on on twitter and kind of A feeling for how people feel about technology, it's it's pretty known that that Cutler Jay s for example, has a couple of rough edges them So I tried to kind of see who is trying to adopt the technology try to help them get started and can either be on an individual basis reaching out to people asking them for their feedback to the technology, and then bring that back to the team. But it can also be in the creation of materials than the people can just consume at their own pace. So for example, on play dot, Copter Nine, dot org, we have our section of hands onto orioles, which are kind of long form to`real, you've go through in interactive fashion and we of course, right those we keep those up to date and we always allowed the community. What kind of topics should be covered. And also keeping with the Team that actually developed technology right Shanyou well. As, we know that the Greater China? Region is huge. So for me I think it's more important to facilitates with community. So basically I Love connection with the community leaders. Mostly East our cutting user. Group. Part of. Confront you. And I tried to arrange some Webinar, to invite sound speaker to share their experience about calling. And the in order to. Make more people to learn calling I arranged. Study Group. Study Jen. that. We have on lies degen that Basically teach people how. Write calling coat. And we also have their coating practice. that. Encourage. People to use calling in different way. For example, we use calling in beckon you can have a new can learn how to write calling. Using Kato War or even in Spring boot. You can use calling in enjoy can use calling in data signs. Et Cetera so we provide. The possibility to poke to calling is everything. So that's why we do every for every day.

Orioles Jeppe Rains Developer Advocate Kotlin Katelyn Kotlin Jaaz Twitter Stalking China Cutler Jay Jen.
Massachusetts mandates flu vaccine for all students — with a few exemptions

WBZ Morning News

00:44 sec | 1 year ago

Massachusetts mandates flu vaccine for all students — with a few exemptions

"In Massachusetts from pre Kato college kids now required to get a flu vaccine by the end of the year of the disease. Madison Rogers has Massachusetts is the first state to require students to get a flu shot. There are exceptions if a student has a medical or religious exemption, or if they're home schooled, But other than that, it applies to anyone over six months of age, even studentslearning remotely. BBC TV's Dr Mallika Marshall says it could help to preserve medical resource is during the pandemic. We still expect to see covert around and we might get a surge in Kobe cases which will threaten Tio overburden once again. Our hospitals our ers are urgent care center. The deadline for all students to get the shot is December 31st. Madison

Massachusetts Flu Vaccine Madison Madison Rogers FLU Dr Mallika Marshall Kato BBC
Mali's president resigns after armed mutiny

KSFO Morning Show with Brian Sussman with Katie Green

00:32 sec | 1 year ago

Mali's president resigns after armed mutiny

"President deeper him Boubacar Keita, announcing his resignation in a late night TV broadcast. Hours after soldiers had staged a mutiny surrounding his residents and firing shots into the air. It's Marley second coup in eight years, The country is seen months of anti government protests. It's also struggling to combat an Islamist insurgency. President Kato was democratically elected on broadly supported in the West, the U. S and France criticizing the takeover.

Boubacar Keita President Kato President Trump France U. S
"kato" Discussed on WNYC 93.9 FM

WNYC 93.9 FM

01:36 min | 1 year ago

"kato" Discussed on WNYC 93.9 FM

"Side. Kato, dressed in catfish, close his whiskers for catfish Road. Whiskers for Rome. She just No, his cap. His This is Cole. This is my face. Lake off long tongue. Off the angel cake gods one Dirty Mandrake..

Kato Rome
"kato" Discussed on 600 WREC

600 WREC

03:00 min | 1 year ago

"kato" Discussed on 600 WREC

"To evaluate a law enforcement agencies performance for Kato went on to say that public safety is top priority and he will not propose major changes to police department funding we're still waiting to hear back from several agencies home with me or telling me tonight that he spoke with the chief this morning about reviewing the department's policies and procedures to make sure they're up to date he says they do that from time to time I'm just can't WBRC fox six news on your side all today Birmingham's police chief Patrick Smith says in the last two years since he took over the department they've let go of sixteen officers seven resigning instead of being fired thirty nine receiving suspension days twenty five got additional training twelve have been sent to counseling the chief also says Birmingham police have completed sixty hours per officer of de escalation training each year that's five times more than the state's requirements tonight one of George Floyd's brothers is calling on Congress to take action testifying today at a hearing on racial profiling and police brutality he says his family wants to see sweeping changes that make law enforcement a part of the solution in America stop the pain stop us from being tired Joe was called by him and he was like no work please listen to the crowd I'll make it to you now so the call is about family and the call is ringing out the streets across the world of all backgrounds genders and races have come together to demand change I wanted him house Democrats are proposing a bill that would ban chokeholds and a no knock warrants local police were serving one of those warrants in the fatal shooting of Brianna Taylor a north Alabama state representative tonight wants schools to teach Alabamians what to do in a traffic stop state Rep Laura hall is sponsoring the bill that would make it part of the driver's ed curriculum we think it is appropriate yet necessary because we've seen and heard of so many circumstances that have not been up positive results of someone being stopped by not making the you know doing the right thing on making the wrong rules rules other states passed similar laws hall says she plans to reintroduce this one in the next legislative session president trump tonight says his administration won't consider renaming military bases that have been named after Confederate generals this the day after the Pentagon indicated it's open to looking at renaming nearly a dozen bases that would include Fort Bragg in North Carolina Fort Hood in Texas president because the base is named after Confederate soldiers called hallowed grounds that help train soldiers to win two World War I veteran my name outside the Madison County courthouse is going to find a new home county commission voted unanimously today to take that statue down and we located no word yet on when they'll do that or where it's headed there is growing support in Mississippi tonight to look at changing the state flag that currently features a Confederate flag lawmakers say they're getting hundreds of requests in the past few days some.

Kato
Alexa Healthcare Skills with Dr. Bob Kolock

Voice First Health

04:40 min | 1 year ago

Alexa Healthcare Skills with Dr. Bob Kolock

"I'm curious because like you said you've you've you've designed now eighteen skills. Did you teach yourself how to code along the way or how did you get these skills to do that? I you know I have to compliment Amazon. Who's still have a lot of good documentation all along the way There were opportunities to learn for free or minimal between what they provided in. What are some of the Code Academy a? There's there's a couple ones that are out there that really minimal charge. I so I learn Java script books on it but a lot of trial and error. And it's gotten to yet so I never knew Java scrip- I worked the website. I mentioned I use coal fusion probably burdette. I've heard of it but that's about it. That's not so use co fused. I haven't Do Some Aung. Php I'm sorry. But I learned along the way again. There are a lot of times I built the skills. I probably built fifty steals but majority of those were learning skills. Like okay gotcha. Well it's really impressive. I it's very inspiring to know that you can. If you really WanNa do this and get involved you I mean the resources are there to go and learn it and start to create these things that have real value so I think that's that's wonderful. What can you share any thing that you're working on next top secret or any other plan coming up? Well I'm the one I start. I started working on this over the weekend And I think I might submitted later today or tomorrow so really so I'll tell you I'll tell you what it is. It's the concept is again trying to focus on the good things in our lives so the draft name of this is gratitude law. Yeah it's very simple. What it asks you to do. There are real functions. You will tell lack Alexa three things that you're grateful for. Okay and you do that as many times as you like in then you could ask subsequently tell me my blessings and it will ran the Maya through your list and tell you three random things and yet it's not the track my doses a lot more conflicts and pop located those functional. This is more. Let's focus on the good things like kindness counts and the things we should be thankful for. We're seeing a lot of that and social media. I think you know one of the big things. Thank our first responders doctors and the nurses who are in the front line. Those kind of things by so. I'm hoping people again. It's ready to be out there. I'm not sure we're going to keep that name gratitude blog but anyway I'll let you know change but now but again it's that purpose in mind. I'm I'm also like working with one or two Companies that are trying to do some like an adviser yet works Ireland. You know I guess just to finish off. I'd love for you to just share how people can contact you and how they can get in touch with you if they want to chat with you about maybe working on some of these projects with you or otherwise just getting touch and having a chat with you about your thoughts and ideas on the stuff. Well my email is probably the best way is our a Kato Nello. Ck One and she mail dot com. That's probably the bass have linked in Robert A CO lock. Md The official. May I yeah and I would love to hear from people while Bob? I really appreciate you taking some of your time to chat with us and chat with listeners and myself It's a real pleasure to be able to connect with you like this and I certainly look forward to stay in touch it and seeing what your next projects are Following along with all these great skills

BOB Code Academy Kato Nello Amazon Alexa Robert A Co Official Ireland
"kato" Discussed on WTVN

WTVN

03:31 min | 1 year ago

"kato" Discussed on WTVN

"Officers were checking the scene Kato fire fired upon officers satin Rouge police chief Murphy Paul says two officers were hit one was killed as a result of the shooting we lost a twenty one year veteran the baton Rouge police department the other officers hospitalized and be gravely wounded you're listening to ABC news five oh two now a news radio six ten W. T. traffic and weather mornings and afternoons on newsradio six ten WTVN first look at your Monday drive with Johnny hill over the weekend we it's a construction work Dublin road being re opened between the post office and Grandview Avenue after a culvert replacement there we do have an accident scene closing down James road south of Livingston some wires knocked down out of this one we'll go ahead pick up thirty three a college Avenue as a detour off of links to nor can use Hamilton road at the intersection of Fulton and forth being restricted starting this morning for the next two weeks if you're trying to reach I. seventy westbound awful for street twenty use third street instead traffic and weather together power by temp start custom air not Johnny hill on newsradio six ten WTVN now your A. B. C. six first warning weather for meteorologist Jim get all partly cloudy cool today wolves winds will still be light though a high of sixty degrees cloudy with showers again after midnight tonight the low fifty showers in the morning as well for Tuesday but will be milder during the day high of sixty seven could see some thunder showers on Wednesday and a high of sixty two weather's power by the basement under mostly clear now thirty eight in Bexley thirty nine of your severe weather station newsradio six ten WTVN this is a service of legacy retirement grow it was a slight drop in the number of new cases and deaths due to corona virus in Ohio as reported on Sunday in total nearly sixteen thousand positive cases occur with nineteen have been reported in Ohio in just over seven hundred deaths today governor Mike DeWine said to unveil his plan to reopen businesses across the state with the state home order set to expire on Friday governor Donald tweaking the state's foster care program in response to the covert nineteen pandemic the wind says changes will affect those who would typically age out of the state program once they turn eighteen many of these young people your future looks uncertain because of code nineteen whether plan was to start a career or to pursue higher education this program that I'm announcing today will provide them with the safety net how's the wine on Friday the governor added the state would cover the cost of more than two hundred teens who otherwise might find themselves on their own before things settle down could I make it some changes to its bus services beginning today the agency says to ease demands on transit operator services operate from seven AM to nine PM seven days a week frequency will also be reduced on some lines but maintain for those with more writers go to is also now requiring all passengers to wear a facemask an apparent lover's quarrel ended in violence early Saturday in Columbus authorities say thirty year old Antonio parks allegedly poured bleach on the thirty five year old victim before shooting her in the shoulder police say it happened around two AM early Saturday at the victim's apartment in the fifty nine hundred block of chat for Dr parks was charged with felonious assaults radio six ten WTVN sports yes old reputable weekend ten Buckeyes wanna be selected tied with Michigan for second most in the drop by Dallas youths five wore black eyes have been signed since the draft ended as undrafted free agents meanwhile seems like many of you love having something to watch TV ratings for the.

Kato
"kato" Discussed on WGN Radio

WGN Radio

05:37 min | 2 years ago

"kato" Discussed on WGN Radio

"Kato in the fridge was a shot in the dark we sure about that I thought it was a leader one than that seven seven nine says the breast British comedy as the Russell brand remake of Arthur and then they say just kidding all right three one two nine eight one seven two hundred is a phone number best British comedy movies twenty one here Trainspotting I mean it's I guess a comedy I think it is in the same sort of boat as Dr Strangelove where it's a very dark comedy about something very serious work yeah you know doctor Strangelove is about nuclear war finding like a nuclear war I would I would see Trainspotting is a comedy of sorts of sorts yeah I mean I think I think personally I think doctor Strangelove is a more traditional comedy entrance about yeah it's much more ridiculous a black comedy there's there's no question about it and I laugh my **** off when I watch Dr Strangelove yeah you know I think sterling Hayden's for every performance in that movie is just stellar especially George C. Scott I mention this before George C. Scott and Dr Strangelove is one of the best comedic performances I've ever seen the fact that he didn't do comedy for the rest of his career after doctor Strangelove is astonishing to me yeah he's soul hello areas to memory but it is I as someone who has read the book Trainspotting up many times yeah and seen the film more times than I can count it's it's particularly funny if you kind of know where that sub culture comes from in terms of being you know on the dregs of society yes Scotland yeah it's it's funny because that's what you know for lack of better term junkies are like colleges are fine well still living here in Chicago he he might be I think you might still be I love the fact that he lives here yeah he he really likes I just love and he's a fat is a fascinating guy he's a great writer yeah and re reading Trainspotting which is all written in Scottish dialect yep is an exercise for anybody up to try and see if you can do that sort of thing and once you get into it it is a satisfying and usually pretty funny expiry I I I remember when Trainspotting came out I remember when the movie came out as a game changer you know I mean like it was and and I love that movie I love the sequel I thought the sequel was great I was terrified to watch it at first because I was like don't ruin anything for me it's great it was once my cousin mark who is Scottish yeah told me he was he was here visiting because he he also of Chicago I think a lot of Scottish people really loves you there's a lot of Scottish people in Chicago yeah there are they really love it here but she said you came across he asked me if I'd seen it I said no and he said just just do it I am afraid I was like don't worry about it just watch it and take it at face value yeah and I absolutely adore I thought it was great I thought it was great and I are SO Trainspotting yeah I can't tell you the number times I've seen Trainspotting I sort of the Bruins you like fifteen times Trainspotting the Bruins you that's a good combination I just I also one of the things I love about it is that the biggest maniac of the guys doesn't do heroin he's the alcoholic yeah Debbie Bagby I mean I think he's the most terrifying die in the movie does the most awful stuff and he's the only one that's not on the H. yeah played by the spectacular Robert Carlyle he's a great a great performance it's a great performance and and I love where they took him in the sequel I just I don't know so anyway Trainspotting is is listed here hello December twenty Althea classic this is the one that put it this is the one that put Michael Caine on the map any re made that one to with Jude law and pretty good there was no it wasn't bad I liked it a good casting Jude law that's great casting that money is very much the Alfie of that there's no question about it I love Jude law I think he's great what was that crazy Stever Steven Soderbergh movie that he was it was a contagion yeah the what we had bad teeth like he had a he put in like a mouth piece that look like his teeth were all **** rotten I think it was contagion and I know I'm members Soderbergh directed it whatever it was but you don't you side effects all yes side effects it similar to contagion yeah similar and side effects is a good movie it's very very unsettling yeah but I love Alfie that was a star making performance for Michael Caine that's the one that put Michael Caine on the map you know what I mean and it's such a great performance normally I can't stand I can't stand the breaking the fourth wall it has to be done that's why when we when we argued risky business versus Ferris Bueller one of the first things I said was I cannot stand when characters break the fourth wall especially characters that I find obnoxious but it works in healthy it totally works it was a good it was a great you know my ears I love this first sentence you ready for this first sentence how they describe it it says most young movie fans think Michael Caine is the old dude and all of my in Christopher Nolan's movies hi this is he intended yeah right I will I believe you popped up in the trailer yeah that movie looks really cool man really cool here's the thing it's just it's just so weird because I pretty much except for the prestige which I'm kind of shaky on except for the Batman movies I love Christopher Nolan movies it's weird I don't like the baths Batman movies.

Kato Arthur Russell
"kato" Discussed on WGN Radio

WGN Radio

02:32 min | 2 years ago

"kato" Discussed on WGN Radio

"And all the things that Kato do not eat so it is that's a diet you recommend the most because I hear it consistently over time when his other diets coming god I'm not saying any more good or bad if it works for you I suppose it works for you but the Mediterranean one seems to last forever like you see her constantly people talking about how that might be a good thing to do yeah I mean here's here's the truth of the matter there are a million diets out there there are so many so how come we know that some vegans are super healthy in some paleo people are super healthy in some Kato people get super healthy like why are all these people doing totally different diets but yet are all getting sort of healthy what's the commonality between all the diet that what makes it all different what's common about them yes and that is where the magic is and here's the answer with common about all diets at and of being healthy is that they are low in processed food and high in fruits and veggies and so if you do that whether you decide to skew one way or another with all the other things at the end of the day that is really the secret it's it's I guess it's not the right we put we suppose all not we all know it it's just so hard to avoid the processed foods it is hard to eat the fresh fruits and vegetables constantly that that's a hard thing to aspire to but it's it really helps it well I always tell people trying the nine to eleven servings and that blows there must have those my hi can I do that but I say four three two one four servings at breakfast which can be your Jews or blended into your eggs three at lunch that's your salads and maybe some extra carrots and vegetables to eat dinner and one as a snack and all the sudden it doesn't seem so overwhelming you can you can get that many fruits and vegetables in a day what do you think well I hear the thing I do agree I couldn't do that might have been included it's challenging and soul usually where I start with you will as I say listen at a party you know you're going to probably have a little bit of veggies and veggie tray so how about doing an everyday veggie tray where in your house you just keep some vegetables cut with a dip that you know I and every once in awhile you'll pull that tree out in the to field and so a lot of times that will start changing their taste buds it makes and start thinking about bench doubles as something to grab and it sort of gets that momentum going because it really I mean it's it can be difficult especially if you're not in the habit of thinking about them yeah we're back with more of don Jackson Blattner Andrea Metcalf here on wellness Wednesday's a lot more to cover here on WGN it's your last chance to get gifts before the holiday and right now at Old Navy everything's up to seventy.

Kato
"kato" Discussed on KQED Radio

KQED Radio

02:26 min | 2 years ago

"kato" Discussed on KQED Radio

"The citizens of the airwaves have I ever been looking forward to this pyxis this is called call them call let me tell you about in that time yeah and the call is we all know all with the we have a show the staff sure yeah not to wince catch up the mood inside the this yeah so yeah and so the the morning stroll the Kato jazz cat this is because full book catfish room.

Kato
"kato" Discussed on 860AM The Answer

860AM The Answer

02:15 min | 2 years ago

"kato" Discussed on 860AM The Answer

"I don't think people have really stop to take in the harbor. see we need an integrator politics we need to go beyond hard data we need to go beyond just thinking about the fax. so when you think about this with her heart. something goes wrong there. what we've been talking about okay let's stop for a second I I saw yesterday the the courts in Japan dismiss the criminal trial against the Fukushima. executives who were chart because they had a tsunami an earthquake. something went wrong in Japan how many people died. do you know yes there was a relief to radiate not like the worst thing ever that can happen to a nuclear plant eighty I heard an earthquake and a tsunami. and Chernobyl that was a complete and utter disaster how many people died. energy is freedom Marion Williams in the moron Justin Trudeau at the M. S. N. B. site crime and fresh cut number thirteen. after Mr Kato Theresa right from the Canadian press he said just a few minutes ago that you told us last night on the plane that you were that of all of the different instances that you recall have you since been made aware or remembered of other instances and if so how many. I think it is. obvious that this is something that. I was deeply regrettable hi and. wary. of of being definitive about this because in the recent pictures it came out I had not remembered and I think the question is how can you not remember that. the fact is I I I didn't understand how hurtful this is the people who live with discrimination every single day okay so that wasn't the climate pass I get confused because it's just as boring even now it just he's been lying about it for thirty years and he has not been honest with the Canadian people and we got another video after that I am now I'm wary of saying I'm a time to we had a run a pool how many times did Justin Trudeau where black face. hi what's the over under on.

Justin Trudeau Marion Williams Mr Kato Theresa Japan Chernobyl Fukushima. M. S. N. thirty years
"kato" Discussed on 760 KFMB Radio

760 KFMB Radio

02:05 min | 2 years ago

"kato" Discussed on 760 KFMB Radio

"To the north down Kato five you can find the number two lane on that transition is closed for Caltrans project the impact to your drive is from the fifteenth sponsored by the California milk producers advisory board parents no kids life can be tough lots of activities lots of rules lots of homework but the good thing is kids can always count on math to help them through the day Mel follow Mike's later today AM seven sixty policies issued by American general life insurance company Houston Texas not available in all states for details visit a ID direct dot com do you have a family would you like to help make sure they'll be taken care of if anything were to happen to you if you answered yes you probably need life insurance now do you think life insurance is expensive if you answered yes to that too you definitely need to give a I G. direct to call we could find you a quarter of a million dollar policy for just fourteen dollars a month which means you could save hundreds of dollars a year call us now for a free no obligation quote one eight hundred four hundred six two one three since nineteen ninety five we've helped millions of people find out if they can save up to seventy percent on their term life insurance see how affordably we can help you protect your family call a I G. direct now for your free quote one eight hundred four hundred six two one three you could save up to seventy percent that's one eight hundred four hundred six two one three one eight hundred four hundred six two one three. about a kitchen remodel but not sure the best way to get started Miramar kitchen bath is hosting a kitchen remodeling seminars Commercy valuable tips about choosing the right contractor for your project and learn about the latest in design concept for cabinets countertops and more this no sales pressure seminars designed to help you achieve your remodeling goals of limited to the first twenty five people who register free seminar will be held Saturday September twenty first from nine thirty to eleven AM it's our way to thank the committee for twenty eight years of providing San Diegans with great service and great value for their kitchen and.

Kato Mel Mike Houston Texas San Diegans Caltrans California advisory board Miramar seventy percent twenty eight years fourteen dollars million dollar milk
"kato" Discussed on Rob Has a Podcast

Rob Has a Podcast

03:34 min | 3 years ago

"kato" Discussed on Rob Has a Podcast

"And also why you're probably gonna have more people coming off saying that they never one vote for a low low, and you kind of need to see that to understand fully why. Yeah. Rob who are really missing tonight is the fact that the personal tax in the house have gotten to the point where like I said, the the room had to step in to the point where we're Lolo in Natalie Marie mainly Lolo are calling Tom chauvinist that he's Kato is a racist. That that Bretton women at Tom's psycho that he's asshole swear words, like really, really, look, here's the thing. I like extra as you know, what I am like the Queen of extra when it comes this podcast. But even I could not stand what was coming from Lolo and Natalie Marie over the past forty eight hours with how they were treating fell houseguests, and that's not to say that Tom and Kato have played. Well, they have played frigging terrible. They played badly. But they do not deserve the personal tax of they're getting from Lolo. And I don't understand why she's doing it all she has to say, look, you know, what we didn't want back Ricky we trust Ricky you guys. Cool, but we really don't wanna work with you anymore. Instead, it just so person so dirty, and it's to a point where actually people on Twitter like, you know, what I don't feel comfortable watching this anymore. And I have to say that I was kinda right there with them. It was it was really oddly. I didn't feel good about myself after I finished. Comparisons to this being similar to some of those scenes in big brother nineteen between Paul and just Cody. Just inter attacks. Okay. Here's my big question. And so, you know, this has been widely reported everybody's at each other's throats. Nobody's getting along. Mary. How do we end up with a unanimous decision to send Joey out of the house? And does that tension? Splash some cold water on everything. Yeah. It's tricky because I'm looking through my notes trying to figure out exactly when that happened. The they there were a lot of hints toward tamer and Dina in particular siding with Tom in Kato that there's something in Tom Cato all day yesterday have been trying to get to them on their side. So that they could keep candy in the house because they feel that Joey was probably going to be who low low in Natalie Marie wanted to keep. So by getting that sort of faction out of the way, they my guess is that the maybe tame are told the girls like, hey, look, the vote is either gonna be a tie in which Tom breaks the tie in. In favor of candy staying. So you can either hop on board. And that would be the only reason why I could say that it really is going to be unanimous. Oh, though that and there was a fight between low low in Joey just another one of these ridiculous main about the food they were buying so that might have contributed to the tipping point. But it it it benefits Tom in Cato's. If you're still on their team. I think it's a good thing. Overall for them that can't remain. I know that it's frustrating for the life feed people because there's so much that that happening house it's hard to show. But I thought this was a pretty good episode of the show. Just in terms of like, if I'm somebody who doesn't know what's happening on the live feeds, and I'm tuning in for this one hour, I think you've got a pretty solid show tonight. Yeah. I would probably agree. I talked to my mom. She's a casualty originally watch big brother for like a season and a half now. And she enjoyed the episode. She had a few questions for me. Like, you know, what the hell happened in? Why do they want?.

Tom Cato Natalie Marie Joey Kato Ricky Tom Twitter Rob Dina Paul Cody forty eight hours one hour
"kato" Discussed on Rob Has a Podcast

Rob Has a Podcast

03:34 min | 3 years ago

"kato" Discussed on Rob Has a Podcast

"Also, why you're probably gonna have more people coming off saying that they never wanna vote for low low, and you kinda need to see that to understand fully why. Yeah, rob Vena were really missing tonight is the fact that the person. Tax in the house have gotten to the point where like, I said, the the diary room had to step in to the point where we're Lolo in Natalie Marie mainly Lolo are calling Tom chauvinist that he's Kato is a racist. That that Bretton women at Tom's psycho that he's asshole swear words, like really, really, look, here's the thing. I like extra as you know, what I am like the Queen of extra when it comes to this podcast. But even I could not stand what was coming from Lolo and Natalie Marie over the past forty eight hours with how they were treating fell houseguests, and that's not to say that Tom and KEDO have played. Well, they have played frigging terrible. They played badly. But they do not deserve the personal tax of they're getting from Lolo. And I don't understand why she's doing it all she has to do and say, look, you know, what we didn't want back though, Ricky we trust Ricky, you guys are cool, but we really don't wanna work with you anymore. Instead it just. So person so dirty, and it's two point where actually people on Twitter like what I don't feel comfortable watching this anymore. And I have to say that I was kinda right there with them. It was it was really oddly. I didn't feel good about myself after I finished. Comparisons to this being similar to some of those scenes in big brother nineteen between Paul and just Cody. Just inter attacks. Here's my big question. And so, you know, this has been widely reported everybody's at each other's throats. Nobody's getting along. Mary. How do we end up with a unanimous decision to send Joey out of the house? And does that tension only splash some cold water on everything? Yeah. It's tricky because I'm looking through my notes trying to figure out exactly when that happened. The they there were a lot of hints toward tamer and Dina in particular siding with Tom in Kato that there's something in Tom Cato all day yesterday have been trying to get to them on their side. So that they could keep candy in the house because they feel that Joey was probably going to be who low low in Natalie Marie wanted to keep. So by getting that sort of faction out of the way, they my guess is that the maybe taymor told the girls like, hey, look, the vote is either gonna be a tie in which Tom breaks the tie in. In favor of candy staying. So you can either hop on board. And that would be the only reason why I can say that it really is going to be unanimous. Oh, though that and there was a fight between low in Joey just another one of these ridiculous main about the food they were buying so that might have contributed to the tipping point. But it it benefits Tom in Cato's. If you're still on their team. I think it's a good thing. Overall for them that can't remain. I know that it's frustrating for the life feed people because there's so much that that happening house it's hard to show. But I thought this was a pretty good episode of the show. Just in terms of like, if I'm somebody who doesn't know what's happening on the live feeds, and I'm tuning in for this one hour, you're gonna pretty solid show tonight. Yeah. I would probably agree. I talked to my mom. She's a casual viewer. She's only watch big brother for like a season and a half now. And she enjoyed the episode. She had a few questions for me. Like, you know, what the hell happened in? Why do they want?.

Tom Cato Natalie Marie Joey Ricky Tom rob Vena Kato Twitter taymor Dina Paul Cody forty eight hours one hour
"kato" Discussed on Rob Has a Podcast

Rob Has a Podcast

01:40 min | 3 years ago

"kato" Discussed on Rob Has a Podcast

"Twenty nine twenty eight twenty nine twenty seven twenty eight twenty eight what was the year on this two thousand two did Kato kaylin get involved in celebrity boxing to the thing is this could be any multi any hundreds of people. But this story ends up for me. So I'm saying guilty not guilty. Danny bondage. It was Joey buttafuoco Joey buttafuoco lifted win. But not for nothing would have been a pretty good houseguests here. Yes. Imagine her video package. These houseguests don't wanna be sleeping with me lorraina, Bob. It's having a moment that I think that I think that the tide is turned on Lorena Bobbitt. I think that she's becoming more more and more popular, I see her as having good reason to be popular. There are several people nationwide. Yeah. So Lorraine learning Bob it, maybe an future season. Yeah. Someone call up production. She could be on the mask singer for all we know. True. Could be one of the top five. Would be something. Nice. Okay. All right. Number four. So your dad only one rights of Eric. Well, they all feel so believable. Number four, Kato kaylin. He was seen on an episode of the reality series sunset tan asking specifically for a farmer's tan. Guilty..

Kato kaylin Joey buttafuoco Lorena Bobbitt Danny bondage Bob Eric
"kato" Discussed on Reality TV RHAP-ups: Reality TV Podcasts

Reality TV RHAP-ups: Reality TV Podcasts

03:40 min | 3 years ago

"kato" Discussed on Reality TV RHAP-ups: Reality TV Podcasts

"Deal with tom kato then they want dna next and but then they were talking about taymor and how annoying she isn't there like probably taymor before tina she's so annoying we need to get rid of her they just get frustrated with her every ten that she's not a rep but then like they get back in the room with her and they're like okay but this person's vote for us like we can't get rid of it's so weird because they're so friendly together all the time except for the brief moments of taymor and lolo fighting basically but then the second natalie and lolo go off by themselves like oh we hate her it's still via the relationship between low and fame are still so intriguing to watch because they had their fight or whatever and they seem to be fine and tim are seems completely fine like she completely forgot that this even happened but anytime low comes nearer like tame are put her put her hand on her yesterday why you touch me your hands come down it's really nuts series another thing that i noticed was that natalie natalie said that production of first of all i believe not only might have said another thing too i might have been natalie might have somebody else said that they were they were told not to talk about competitions and they somebody was like hey they haven't told us not to talk about competitions lately that's weird i'm pretty sure this is like a corroborating evidence to what we talked about in the first round table we were like hey i think what happened is when the feed previews came on they told them not talk about all these things and then the real feeds came on they didn't say hey now you can talk about things they've been thinking this whole time that they're not supposed to talk about things and so they're like hey why haven't we been dinged for talking about competitions i think production is always going to productions never gonna outwardly tell them you can talk about more now because they want them to talk about his less production competitions and stuff as possible so if they just happen to not talk about it for a while that's fine if production but it's not great with us so at least those come around on the fact that they haven't said anything so i guess this is fine to talk about like really bad with some of these people because they understand that there's feeds on but it's like i remember seeing jaycees tweet like a week ago where he was like wait this is what life feeds are like you are watching us all day long with cameras following you like some of them really have no idea how these work and it's going to be bad with they have no idea that these conversations the personal things that they're talking about their lives every single thing like lowe's like oh so people at home must know that this is going on right like they must know what's happening that you just won the veto yes we're watching all the time that's a life you never know another strange thing natalie has said apparently that she was told by producers not to wear her keeney any more yeah what's that about that's like their whole thing in all of the advertisements like hey look at the people in bikinis during the summer thing maybe maybe it's not a summer season i don't know but i don't know maybe i one yeah i don't know i dunno digress trying to keep it more family friendly for the winter crowd more clothes on it's cold out there look it is negative degrees outside in most of the in some country they they're going to be too jealous view that's gotta be it ver- very strange very strange anything else mad that we need to bring up here nope got the round table tonight and stuck with me again yes sprint is unfortunately not going to.

tom kato taymor tina
"kato" Discussed on Reality TV RHAP-ups: Reality TV Podcasts

Reality TV RHAP-ups: Reality TV Podcasts

04:31 min | 3 years ago

"kato" Discussed on Reality TV RHAP-ups: Reality TV Podcasts

"You can't get caught up in the moment, or whatever his lame excuse is going to be for this. But he also never apologize. So we then get. Dna is also upset with Kato because because she was the whole Dina thing. Let's let's talk about the other side of where Kato's wrong here. Is that DNA really likes Cato really liked Kato really was on board with working with Kato? But. But KEDO decided not to tell her about the vote for Jonathan Dina was upset about that Kato did her wrong. She was upset because she was upset Cato was like. Now, eight her she's upset with me. And she's on the block somebody that he should be able to work instead of apologizing and just being like, I'm sorry. I just I didn't know what to do. And I know you like Jonathan I didn't want to implicate whatever he nominated her. And so now she's obviously upset about that and about the deteriorating relationship here. So that's that's happening as well. Right remarkable game play is just like any person who might possibly nominate you at any point in the future. Just get rid of the don't try to build any prince because totally work. So tame our talks with Lolo and her solution to their conflict is all right? You know what? We just won't talk game. I'm not gonna talk game with you and Natalie anymore because I just I wanna be able to remain friends with you guys. Yeah. And not only that. But she's also not gonna talk to Ricky anymore because Ricky didn't come in check on her or check in with her at all during the day after all this happened. So, you know, she's also really mad at Kato. So she has just decided to with. With house and not speak. But for people now, here's the thing about taymor. If she is upset, and you don't go and see if she like how she's doing then you're dead to her. If you do come and see how she's doing then she'll probably get into an argument with you because she's upset, but that's better than not coming to see if she's upset because if you don't come to see if she's upset then you're dead to her like Kato and Ricky or just dead to her right now, and she never wants to see or speak to them ever again. But she will end up having a couple of hours later conversational Kato. So maybe maybe voiding her is actually the best Raji, and then talking with her after things have settled who knows who knows is. It's a tricky. It's a tricky situation wrecking situation. Tricky ricky. So we get a conversation with Natalie low low, Tom and Kato they come together to talk about the plan for the week. They discuss back Doering Ryan that seems to be the main plan right now is let's take off taymor and will end up back during Ryan and everything will be fine. And happy lo lo is kind of like what about Joey though, could we do Joey instead Ryan like maybe thinking about Joey because I still have some weird relationship with Ryan. Maybe I dunno argument, and I can't possibly I give her enough credit to not believe that she actually thinks this. But her argument for keeping Ryan is so funny to me, which is that like America is going to turn on you hit. Oh, if you nominate Ryan because Ryan is so popular it's America's sweetheart Ryan locked e who like we only know as like. Being a moron and be like lying about having a crime committed against them during the Olympics. Like is. He's the someone that people are like, no, not our poor. Sweet right. Not Ryan locked -i. I mean. To be fair as he points out when he's in the diary room there apparently telling him that he's made for TV. They're loving everything that he's giving them in the diary room. And I don't know I think he is kind of coming off as one of the more likely people on the cast, which is probably saying more about the cast. Hundred percent agree with? I think he's pretty good on this..

Kato Doering Ryan Ricky taymor Jonathan Dina Cato Natalie Lolo KEDO America Joey Olympics Tom Hundred percent
"kato" Discussed on Reality TV RHAP-ups: Reality TV Podcasts

Reality TV RHAP-ups: Reality TV Podcasts

03:05 min | 3 years ago

"kato" Discussed on Reality TV RHAP-ups: Reality TV Podcasts

"So I need to go after her. This is a huge mistake for Kedah. This is bad bad bad news for Kato. Yeah. And I think that Dino was just upset in the moment. And I think that it's something that is you can work around it, and you can get over it. It doesn't seem like this irreparable relationship that then okay absolutely has to target DNA because of what happened on the wall. So it just seems like you said he just fix eights on something. And then that's what he's going to go with sort of regardless of any other new information. Yes, we did get some I thought very encouraging stuff from Ryan. I was thinking about how Ryan has plenty of information that he can use to keep himself safe this week. But I wasn't sure if he was gonna use it because. We saw last week. They were these guys were terrible at using their information. I think we are seeing that despite the fact that Ryan is not exactly the, you know, the sharpest guy in that house. He wasn't exactly the brains of the operation between himself and Jonathan. I think he might actually have better game instincts than Jonathan and might actually be a better overall player when it comes down to it because he without Jonathan's influence immediately goes to Kato after the wage and says, look, I understand probably gonna put me up. I get it. I just let me just say I have nobody anymore. Dial Jonathan's gone now. And look I had I had an alliance with these women me, and Jonathan and the women we were will align together, we are supposed to work together. But I guess they went and made Lyons with somebody else probably like the whole house because they just betrayed us. And now, I've got nobody. And if you keep me off the block, then I promise you, I will work hard, and I will win every competition or I will try to win every competition. And I will keep you safe L try to protect you. I'll be loyalty because I have nobody else. And that's about as good a pitches, you can make especially when it comes from somebody who is as genuine seeming as Ryan considering that you don't really think that he has it in him to bloody. Yes. So I think they're Ryan super interesting to me because I had been I make fun of him only having a couple brain cells. I see him with those cue cards. But I think that this just goes to the argument of the different types of intelligence, and he does seem to have a really natural emotional intelligence. And I think that he is somebody who is so genuine that he either he can't. Lie. I mean, we saw him with the Rio scandal at ended up coming out anyway. So I think I think he can't live. That's why it was a skin. I'm sure plenty of other athletes have lied similarly or but just not such a terrible way. You're right like and getting gone cut. Yeah. So so as long as he's being honest, it'd being genuine and using his emotional intelligence in that sort of way, I think that that is such a great look great move for him. I mean, he did what I think a lot of us would say you need to do in that situation, and he figured out to do that on his own. Also, I will say from the episode the thing where he looked in the mirror and saw Natalie entail Margie their little handshake thing..

Ryan Jonathan Lyons Kato Dino Kedah Natalie Margie
"kato" Discussed on Reality TV RHAP-ups: Reality TV Podcasts

Reality TV RHAP-ups: Reality TV Podcasts

02:50 min | 3 years ago

"kato" Discussed on Reality TV RHAP-ups: Reality TV Podcasts

"So tame our goes down DNA is going to end up dropping next making it a lot further than I anticipated. And I think a lot of people were pretty impressed with what she was doing. And then the the final four it came down to Joey Lolo Hato and Natalie I think I was certainly expecting Joey low low and Natalie to do well in this competition did not expect cater to make it this far. Yeah. Completely agree. I think denying Kato were really the two stand outs for me not just because of their. Age. But also because they're going up against you know, a guy who tells Olympic athletes how to work out. So obviously, we know he's fit and Olympic athlete herself. And then not who obviously isn't a wrestler and in great shape herself. So I was not expecting this boot order for sure. Yes, Lolo is going to end up dropping next. Surprisingly and leaving it down to Joey Kato and Natalie at this point Kato is trying to get Joey off the wall Kato is trying to offer Joey deals and Dana who is upset with Kato in particular because she was close with him. Did not know he was going to vote against Jonathan or at least at the very least is mad that he voted against Jonathan and didn't really talk about it is like well, Joey was with Jonathan Dina's just feeling very trae. She's the sole vote to to keep Jonathan. She's feeling very upset. Dna is like no, Joey don't accept the deal. Stay on that wall. And Kato is like, whoa. All right. I see what's happening here. I get it. Okay. Kato is not happy with Dina's interference here. No. And and this is something that is is really important because it influences decisions are made later on. But I say quickly that Lolo did drop because she was worried about injuring her shoulder, which I totally get because she is that's literally her profession is to take care of her body into perform also, I will give her that credit. I thought she had it until she mentioned that she had had soldiers shoulder surgery at one point which is why she Joey is eventually going to use a similar excuse. Yes. So so yes, so Joey. Well, it's weird. Because I it sounded for the brief moment that he accepted the deal. But then said, okay, but I'm gonna see how long I go, which then I don't think really. I really appreciate what you're saying. Kato? I like it. I'm good. This is good. I like the deal you're going to keep me safe. I'm just gonna keep going for a little while though. See how long I can make it. But yes, I agree. Agree with your deal. And then like a couple minutes later. He slipped and fell. So I mean, in my opinion, the deal doesn't count..

Joey Kato Joey Joey Lolo Hato Jonathan Dina wall Kato Natalie Dana
"kato" Discussed on Reality TV RHAP-ups: Reality TV Podcasts

Reality TV RHAP-ups: Reality TV Podcasts

02:46 min | 3 years ago

"kato" Discussed on Reality TV RHAP-ups: Reality TV Podcasts

"And then they were going to keep Jonathan do what we wanted to do work with those guys leave us out to dry when when we will be the only person that vote to Vic Jonathan and then we don't win h wage we're on the block next week. Just like that. That would be terrible. Wouldn't it wouldn't it Kato that would be a bad thing to happen? Maybe we should start thinking about things like that. And I don't think I don't think man he does he gets into Kato's head and catos like I need to go talk to low right now. I need to go talk to her. Yeah. That did not. Go. Well, I appreciate Tom green for trying another strategy. Because clearly this is a monkey on toback that he really just wants to try and wants to do something about it. And is going to go another go about it another way with Kato. But yeah, Kato not team fun. Not having it. And. Yeah, like, you said is going to go talk this ridiculous. Yes. So they talked to Lolo and catos like low low. You tell me you tell me the truth. You do do not lie to me right now. Are we voting how Jonathan yes? Absolutely. Do not worry about it. The only the only weird thing I understand, you know, tame ours. Acton kinda crazy. But it's just she doesn't really trust you guys. Like she led out way. Too much information. Trying to explain this away it had nothing to do with. But she was like, I know the it doesn't really trust you guys. But we're trying to work on that. And but it's okay, we've got her she's gonna vote to Vic Jonathan she's not. She's not even gonna vote for candy. So everything's gonna be fine. Don't worry about it. And Tom at one point because hey, and Cato had been talking about how low low would never swear to God. And then go against it. And Tom was like, it's just a reality television show. I don't know why anyone would take it that seriously. But then he goes to lily's. So do you swear to God? And she's like, I don't swear to God. No and so- catos like well testify later kid Okay. like. It was like you don't ask people. God you ask them to testify. That's the right way to do. It. Now, it's something new that I learned which I'm super excited big brothers on educational try to implement this in my daily life to you testify, though. Yeah. Exactly. Are you are you currently testifying that you are no longer going to ask people to sorta die, but instead to testify again, this is probably related to the whole OJ trial. He was like I had to testify. Swearing to. God. It was all about the testifying. So that's why. So that that's all cleared up everything everything's fine. Everybody is on board were victim. Jonathan taymor. Does talk to Dina a little bit about the vote..

Vic Jonathan Kato Lolo Tom green Jonathan taymor Dina Acton Cato
"kato" Discussed on The Bobby Bones Show

The Bobby Bones Show

03:58 min | 3 years ago

"kato" Discussed on The Bobby Bones Show

"And it's good time. Rare for me to be up that late rare for me to be home. I'm on the road every weekend. So that's good for you love tank. My what you're left, Hank. I didn't mean any girls. I know, but I'm saying like friendship. I mean friendship love. Thank your love tank. Airplane some jams though, the dark bar. DJ's really good. Raining though is still packed streets. Peak of the room Broadway and national like big like everybody just having to urinate, right there. Why wait for a bathroom? Yeah. Like everybody else is doing. This waiting time. Hey, Morgan this before you, but you like to when it comes on. Yeah. I like the song we were thinking we're like Morgan number two the Florida Georgia line bar. We We didn't didn't go go in. in. But we were like we've been more jailhouse my old style. Broadway every week. Are you still in Broadway weekend? Yes. I love Broadway. You are. Yeah. She's twenty five though, they get it. I get that. I just don't be the old guy in the bar. Right. That's all I kept any was the old guy. Older. Good because it was Broadway around you, see somebody older. Older than me. I'm good. You just pointed him the whole time. Don't look at me. They announced the official celebrity big brother cast. So I'll read you the celebrity tell me what they're known for Kato kaylin. I know I know that name I feel like lunchboxes talked about this Kato kaylin there from MTV Kato kaylin live with OJ Simpson. Yes. When we all talked about quedo, testified he lived on his property. His face now. Okay. Joey lawrence. From blossom. Ryan locked de swimmer. Tamar braxton. Child star. This teenage start one of the twin sisters. The girls has show together sister Toni Braxton. Right related to Toni Braxton from the Braxton's show, right? And I'm assuming. Ricky williams. Oh, look up Tamar player. Yeah. For UT for running back Natalie. Even Marie these are all celebrity big brother people. Natalie. Eva Marie Marie item. She's a former WWE wrestler. How about candy Bruce? Candace cameron. Oh, yeah. The names candy Burruss. I've no idea she's a real housewife former singer current real housewife, candy Burs don't. He don't housewives anymore, man. I don't know which one she has listen. Hi, my Bravo. Watching has gone way down since I became a mom, Tom green. MTV star commit funny guy, stunts comedian, Tom Lolo Jones runner. Yeah. Yeah. Olympic track athlete and bobsledder. She did the. Wow. Okay. So there you go Jones. I mean, this I'm pretty solid and a low low don't you a bit Oregon? You know, how I know her. I don't really know how you know her. I know that you donate. I don't know how you know her a measure on a dating. How? But we actually have it like just like texts talk. We've actually physically about rush and then like last week or so she was like I gotta disappear for a while..

Tamar braxton Tom Lolo Jones Kato kaylin Morgan Eva Marie Marie Natalie MTV Hank Candace cameron Ricky williams OJ Simpson Tamar DJ UT Joey lawrence quedo Tom green official Oregon Ryan