New Paper: Prospective Validation of an Electronic Health Record–Based, Real-Time Suicide Risk Model

Our paper on our experience running a risk model trained in the lab (retrospectively) in real-world clinical systems (prospectively) is now out on JAMA Network Open. In this study, we investigate how well electronic health record–based suicide risk models perform in the clinical setting and whether performance is generalizable. This cohort study of 30-day suicide…

New Project — Improving probabilistic phenotyping of incident outcomes through enhanced ascertainment with natural language processing

We are excited to announce a new two year project supported by the U.S. Food and Drug Administration’s Sentinel Innovation Center to develop natural language processing (NLP) for electronic health record text related to suicidal ideation and behavior. For this work, we partner with NLP experts Dr. Adi Bejan of Vanderbilt and Dr. David Carrell of…

Carrie Reale Honored with the Harriet H. Werley Award at the AMIA 2020 Virtual Annual Symposium

Carrie Reale, MSN, RN-BC, received the Harriet H. Werley Award for the paper she led entitled "User-Centered Design of a Machine Learning Intervention for Suicide Risk Prediction in a Military Setting." This award was given during the American Medical Informatics Association (AMIA) 2020 Virtual Annual Symposium on November 14-18. It is presented for a paper with…