Decision Science Rounds: Can we predict early deterioration in hospitalized patients?

In this podcast, I am joined by Ryan Arnold M.D. and Muga Capan Ph.D. who are directing our newly formed Center for Healthcare Analytics and Decision Science. They put together a graduate student team of Andrew Armstrong, Devanshi Dholakia, Karen Nwal, Karan Gandhi, Mallika Mhapankar, Matthew Shaw, Mihir Chheda, Parth Girme, Sharath Chandra, Zoya Khalife to analyze the hospital rapid response database created by EM Resident Mark Ramzy MD. Their goal was to use decision science tools to try to determine if there was a pattern that predicted early v late rapid response in patients admitted through the ED. The hope was that characteristics, identifiable in the ED, could predict who would deteriorate early. There was a pattern – but not what you’d expect! Listen in to find out more!

Screen Shot 2018-12-12 at 5.05.46 PM.pngListen here to the Podcast

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Drexel Business Dragons working with Drexel Medical Dragons!

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