Healthcare IT News February 28, 2024
Bill Siwicki

Yusuf Tamer, principal data and applied scientist at the Parkland Center for Clinical Innovation, offers a sneak preview of his HIMSS24 session, which offers a detailed look at one of artificial intelligence’s most promising use cases.

While 80-85% of sepsis cases present within the first 48 hours of admission, they have lower mortality (5-10%) compared with 15-20% of cases that present later and have higher mortality (15-30%).

To better – and earlier – identify sepsis cases not present on admission, at a large safety-net hospital, an end-to-end early sepsis prediction and response workflow was created in the inpatient setting. First, a machine learning model was built to predict the risk of a patient becoming septic in real time.

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Topics: AI (Artificial Intelligence), EMR / EHR, Health IT, HIE (Interoperability), Interview / Q&A, Technology, Trends
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