AI-Driven Clinical Alerts for Suicide Prevention

SOURCE medicalxpress.com
A new study by Vanderbilt University Medical Center shows that AI-driven clinical alerts can help doctors identify patients at risk for suicide, improving prevention efforts in medical settings.

Key Points

  • VSAIL model developed at Vanderbilt University analyzes electronic health records to calculate patient's 30-day risk of suicide attempt
  • Study showed interruptive alerts led to more screenings for suicide risk compared to passive system
  • 77% of people who die by suicide have contact with primary care providers in the year before their death

Pros

  • AI-driven clinical alerts can help doctors identify patients at risk for suicide
  • Interruptive alerts were more effective in prompting doctors to conduct suicide risk assessments

Cons

  • Potential for 'alert fatigue' among doctors due to frequent automated notifications