Becker's Healthcare March 16, 2021
Hannah Mitchell

Machine learning could use real-time predictive models to assess suicide attempt risk in nonpsychiatric settings in a large clinical system, according to a March 12 study published in JAMA Network Open.

The study followed 30-day suicide risk attempts among 77,973 patients in nonpsychiatric clinical settings in real time from June 2019 to April 2020.

Three things to know:

  1. The numbers needed to screen for suicide risk were reasonable for algorithmic screening and required no additional data collection or...

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Topics: AI (Artificial Intelligence), EMR / EHR, Health IT, Patient / Consumer, Provider, Technology
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