Suicide Prevention Enabled by Data Science

Colin G. Walsh, M.D., M.A.
Colin G. Walsh, M.D., M.A.

Assistant Professor of Biomedical Informatics, Medicine, and Psychiatry
Vanderbilt University Medical Center

January 24, 2019 - 1:00 p.m. ET


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*A recording of this webinar will be available approximately one week after the session.

About the Webinar

Dr. Walsh will present preventive strategies that integrate clinical data science, informatics, and mental health expertise in an attempt to prevent suicidal thoughts and behaviors. He will explain basic concepts in applied predictive modeling relevant to an audience interested in disease prevention. He will share examples of active research and operational efforts in this domain in civilian and active duty military environments.

About Colin G. Walsh

Colin G. Walsh, M.D., M.A., is Assistant Professor of Biomedical Informatics, Medicine, and Psychiatry at Vanderbilt University Medical Center. He is a practicing internist. He received a degree in mechanical engineering from Princeton University and his medical degree at The University of Chicago where he was inducted into the Alpha Omega Alpha Honor Medical Society and the Gold Humanism Honor Society. He completed residency and chief residency in internal medicine at Columbia University Medical Center. He received a degree in biomedical informatics in postdoctoral fellowship at Columbia University. He joined the faculty at Vanderbilt University in 2015.

Dr. Walsh’s research includes: (1) machine learning in behavioral health, including suicide prevention and psychiatric phenotyping; (2) clinical decision support to enable prevention; (3) predictive modeling using electronic health record (EHR) data; and (4) evaluation of value-based care through data science. His published research has been featured in Newsweek, Wired, Quartz, NBC News, ACM Tech News, Reuters, and more.

Dr. Walsh has received funding from the National Institutes of Health, National Institute of Mental Health, National Library of Medicine, Centers for Medicare & Medicaid Services, U.S. Department of Defense, Evelyn Selby Stead Fund for Innovation, and Empire Clinical Research Investigator Program.