A new study demonstrates that a predictive computer model can identify patients at risk for attempting suicide from patterns in their electronic health records — an average of two years ahead of time.
Such models could potentially alert health professionals in advance of a visit, helping patients get appropriate interventions, say researchers from Boston Children’s Hospital and Massachusetts General Hospital.
The findings are published in JAMA Network Open. “Computers cannot replace care teams in identifying mental health issues. But we feel that computers, if well designed, could identify high-risk patients who may currently be falling through the cracks, unnoticed by the health system,” said Ben Reis, Ph.D., director of the Predictive
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