Using data from electronic health records, Department of Veterans Affairs and National Institute of Mental Health researchers were able to identify VA patients with very high, predicted suicide risk that were not previously flagged by clinicians.
According to researchers who developed a suicide-risk algorithm by studying the VA patient population from fiscal years 2009-2011, these methods could help prevent civilian as well as veteran suicides. The study, published in the online issue of American Journal of Public Health, randomly divided the patient population in half using data from one half to develop the predictive model and then testing the model using data from the other half. Both study samples included 3,180 suicide cases and 1,056,004 control patients.
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