Matthew Churpek

Matthew Churpek is an Associate Professor in the Department of Medicine at the University of Wisconsin – Madison, specializing in Pulmonary and Critical Care Medicine. His research focuses on leveraging electronic health record (EHR) data and advanced machine learning techniques—such as natural language processing (NLP) and deep learning—to predict clinical deterioration, sepsis, acute kidney injury, and other critical illnesses. His work has been supported by grants from the NHLBI, NIGMS, and the ATS Foundation.

Dr. Churpek’s research emphasizes developing and validating predictive models for high-risk patient populations, including those with substance misuse, sepsis, and post-surgical complications. His lab has created tools like the eCARTv5 early warning score and AI-driven screens for opioid use disorder identification. These innovations aim to improve clinical decision-making and patient outcomes in critical care settings.

• Key Areas: Clinical deterioration prediction, sepsis management, machine learning in healthcare, EHR analytics
• Awards: ATS Foundation Recognition Award, NHLBI K08, NIGMS R01

His recent studies explore personalized treatment effects (e.g., oxygen therapy optimization), stigmatizing language in patient notes, and multimodal data integration for improved diagnostic accuracy. Collaborative efforts include multicenter trials like the PRECISE sepsis resuscitation trial and pancreatectomy outcome analyses.