Researchers discovered that artificial intelligence (AI) can help doctors identify patients who are at danger of suicide, potentially saving lives.
The study examined two approaches: one employed automatic pop-up notifications to push clinicians to act, and the other passively provided danger information.
What are the results? The pop-up alerts led to clinicians performing suicide risk assessments 42 percent of the time, compared to only 4% with the passive system.
Targeted screening with AI
The Vanderbilt Suicide Attempt and Ideation Likelihood model (VSAIL) is the artificial intelligence system used in this investigation. Develop…
Universal screening is not feasible in all situations. We created VSAIL to help identify high-risk patients and initiate a focused screening conversation…
The scientists tested the approach in three neurology clinics, where it identified patients at high risk of suicide. Doctors were then asked to conduct sui…
The need for preventive. According to studies, 77 percent of those who commit suicide have contacted a primary care provider within a year of…
“Most people who die by suicide have seen a health care provider in the year before their death,” Walsh said, emphasizing the need of integration.
striking a balance. The researchers admitted that, while interruptive notifications are helpful, they may disturb doctors’ workflows if…
“Health care systems must balance the effectiveness of interruptive alerts against their potential drawbacks,” Walsh stated…….
These findings demonstrate that targeted notifications in conjunction with automated danger identification can have an impact, the study’s authors concluded.
