Presented By: Department of Psychology
Methods Hour: Predicting Avoidable Hospital Events in Maryland
Dr. Leigh Goetschius, Data Scientist at The Hilltop Institute at UMBC
Abstract:
Predictive analytics and big data are playing a larger role in healthcare than ever before, but how do predictive models get from a journal article to clinical practice? In this Methods Hour talk, I'll discuss a predictive model that is currently being used by primary care providers in Maryland to statistically triage their patients and how the production predictive analytics process differs from publishing results in a journal. The main issues we'll discuss include: What makes a predictive model not only predictive of outcomes but also a useful tool for providers in their every day practice workflows? What are the issues that need to be considered when a predictive model is used to guide clinical decisions like who will get limited care resources?
Predictive analytics and big data are playing a larger role in healthcare than ever before, but how do predictive models get from a journal article to clinical practice? In this Methods Hour talk, I'll discuss a predictive model that is currently being used by primary care providers in Maryland to statistically triage their patients and how the production predictive analytics process differs from publishing results in a journal. The main issues we'll discuss include: What makes a predictive model not only predictive of outcomes but also a useful tool for providers in their every day practice workflows? What are the issues that need to be considered when a predictive model is used to guide clinical decisions like who will get limited care resources?
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LivestreamFebruary 4, 2022 (Friday) 12:00pm
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