The Video of the NIH/NCATS Machine Intelligence Workshop is now online. It was a fantastic day with rich discussion. Panels from experts like Ken Mandl, Nigam Shah, Dina Katabi, and more. Dr. Walsh participated in the second panel on Explainability. His talk focused on "The Importance of Algorithmic Explainability in Behavioral Health". https://videocast.nih.gov/summary.asp?Live=33220&bhcp=1
Category: Applications of Clinical Predictive Models
NIMH Suicide Risk Algorithm Applications in Healthcare Settings, June 5-6, 2019
Dr. Walsh participated in this workshop at the National Institutes of Mental Health with thought leaders and researchers in suicide prevention from around the country. The topics covered ranged from: Biostatistical challenges Provider and patient understanding of risk algorithms Ethical considerations Needs for clinical decision tools to guide risk algorithm application Policy-relevant research It…
New Paper: A method for analyzing inpatient care variability through physicians’ orders.
The Journal of Biomedical Informatics has published a new manuscript by Matthew Lenert, PhD Candidate in our lab, along with Professors Randy Miller, Eugene Vorobeychik, and me describing a new method to analyze care variability using Electronic Health Records and provider orders data.