Dr. Milos Hauskrecht’s Paper Wins the Homer Warner Award at the AMIA 2010 Symposium

Congratulations to Dr. Hauskrecht and the team for this amazing accomplishment! 

The award is named for Homer R. Warner, MD, PhD, a pioneer in the field of informatics and the founder of the Department of Biomedical Informatics at the University of Utah. This awarded is presented to the paper that best describes approaches to improving computerized information acquisition, knowledge data acquisition and management, and experimental results documenting the value of these approaches.

Milos Hauskrecht, PhD, Michal Valko, MSc, Iyad Batal, MSc, Gilles Clermont, MD, MS, Shyam Visweswaran MD, PhD, Gregory F. Cooper, MD, PhD. Conditional outlier detection for clinical alerting.

We develop and evaluate a data-driven approach for detecting unusual (anomalous) patient management actions using past patient cases stored in an electronic health record (EHR) system. Our hypothesis is that patient-management actions that are unusual with respect to past patients may be due to a potential error and that it is worthwhile to raise an alert if such a condition is encountered. We evaluate this hypothesis using data obtained from the electronic health records of 4,486 post-cardiac surgical patients. We base the evaluation on the opinions of a panel of experts. The results support that anomaly-based alerting can have reasonably low false alert rates and that stronger anomalies are correlated with higher alert rates.

Post Date: 
Wednesday, November 17, 2010