Becker's Healthcare March 16, 2021
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:
- The numbers needed to screen for suicide risk were reasonable for algorithmic screening and required no additional data collection or...