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Today on Insights. We go back to a conversation Host Bill Russell had with Michael Meucci, COO at Arcadia and David Dirks, VP of Strategy at Intermountain Castell. The topic of discussion was A COVID Health Data Supply Chain Case Study. Collecting and analyzing data during the pandemic has been difficult to say the least. The health data supply chain seems to be a better way of not spending as much time normalizing the data and spending more time actually generating benefits for the organization. But how exactly does it do that? 

Transcript

Hello and welcome to another episode of Insights. My name is Bill Russell. I'm a former CIO for a 16 hospital system ???? and creator of This Weekin Health IT. A channel dedicated to keeping health IT staff current and engaged. Our hope is that these episodes serve as a resource for the advancement of your career and the continued success of your team. Now onto the ???? show.

Today on insights. We go back to a conversation host Bill Russell had with Michael Meuci, COO at Arcadia and David Dirks, VP of Strategy at Intermountain Castell. The topic of discussion was a COVID health data supply chain case study. Collecting and analyzing data during the pandemic has been difficult to say the least. The health data supply chain seems to be a better way of not spending as much time normalizing the data and spending more time actually generating benefits for the organization. But how exactly does it do that?

It seems to me the health data supply chain is a different concept and it gives you as agility. And one of the things we just came through with the pandemic is that we recognize the need for agility. At a pace we've never had to experience in healthcare, at least in my lifetime where we didn't know what the problem was until the problem presented itself. And then it was sort of almost like the demand generated the need. And then we had to figure out how to respond to it. And the health data supply chain seems to me to be a better way of not spending as much time normalizing the data and spending more time actually generating benefit for the organization. Michael, does that capture it and how does it do that?

d response. You know March of:

But when we did have, was diagnosis data coming in from ADTs or from EHR. And so we were able to build a little machine learning model. And I say that, and it's not anything fancy. It was pretty simple at the time to say what symptoms are we seeing that tie to what the CDC is reporting we should be watching for. That tie to the limited number of positive tests that we have. So we can then back into a registry of risk factors and everyone at the end of the pandemic said, Hey, it seems that like, it seems that folks who are overweight or folks with multiple chronic conditions, elderly, or are more susceptible to complications from COVID, but that was just a hunch. And so we were able to build these models.

Get them in the hands of Dave's care traffic control team and really rapidly spin up an outreach program to those patients. And Dave can talk about the outreach program but what was great about the supply chain was like every, like any traditional supply chain, there's always an effort of supply chain optimization.

We will take feedback from their calls and use it as an input to the model to help the model get smarter. So as we continue to build these riskstrata and cohorts, they were getting smarter and more refined each time. And I think Dave can speak to some of the great findings and some of the great support that, that cast Eleanor mountain were able to provide to their patients through these efforts.

Yeah. I mean, if you think about where we were at that point in time, Right. The delivery system was all reacting to the surge. How do we stand up testing? And it was in a very reactive position by necessity. And the conversation was how do we begin to get ahead of this? How do we begin to, to some extent, begin to take the fight to COVID and what was happening. And the, one of the key roles that we at Castell felt like we could play because in all of the other components, we felt helpless, right? It was our ICU's and EDIS and others sort of fighting that battle. We said, how can we identify those folks where that are in their homes? They're scared. They have a lack of information. They don't know what to do if they get symptoms. They're very concerned. The Arcadia team was very quickly able to generate that list for us that Michael walked through. And then we have resources literally just began making calls and saying, Hey, we're concerned about you.

What can we answer? Hhow can we help? What that then evolved into, because we already had that supply chain built is when it became time to get the word out about vaccines. We already had those lists. We already had connections with those folks that we knew were high risk. And so we were then able to begin to make those connections and say, do you know, now you qualify for that vaccine?

What questions can we answer and concerns. What we were also able to do is leverage technology through those lessons through Arcadia to do that through a text campaign and through calling. And we were able to get some uptick numbers in the hundreds of people that we were able to call and get a vaccine, but it was in the tens of thousands of people that we were able through that data supply chain to actually get confirmation on vaccines or at least a message out through texting.

So because that supply chain was built because we had already had that connection point as COVID evolved, we were able to meet the needs of people all along that continuum as the sort of the disease and the pandemic played out in a very easy way where we weren't trying to re-engineer things multiple times. And we were very reactive and able to move very quickly based on the changing nature of how the virus progressed.

Wow, thanks for tuning in another great episode. If you have feedback for us regarding this content and materials, or if you would like to help us to amplify great thinking to propel healthcare forward, which is our ???? mission, please send us a note at hello@thisweekhealth.com. Thanks for listening. That's all for now. ????

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