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Tag: Electronic Health Records

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SCCM Pod-461 PCCM: A Novel Machine Learning Model to Predict PICU Transfer

This podcast discusses a novel machine learning model that identifies ICU transfers in hospitalized children more accurately than current tools. The discussion centers on the article “Development and External Validation of a Machine Learning Model for Prediction of Potential Transfer to the PICU,” published in the July 2022 issue of Pediatric Critical Care Medicine.

Electronic Health Records, ICU Transfer, Machine Learning, Pediatric Critical Care Medicine, Pediatrics, Risk Assessment

2022 Critical Care Congress Thought Leaders: Data Science and Critical Care

Matthew Churpek, MD, MPH, PhD, will share the top 10 things he wished someone had told him about clinical predictive modeling as part of the thought leader session Data Science and Critical Care at the 2022 Critical Care Congress.

2022 Congress, Data Science, Electronic Health Records