“There’s growing urgency around the need to take proactive steps to prevent suicides by veterans. An average of 20 Veterans per day committed suicide in 2014, according to the Department of Veterans Affairs. Veterans, who constitute 8.5 percent of the U.S. population, accounted for 18 percent of all suicide deaths.”
“Despite the obvious challenge and risk of mortality, suicide prevention for veterans is a challenging service to provide. However, emerging interest in new types of social data—paired with medical information contained in veterans’ health records—holds new promise in assisting clinicians to find those who are at risk. And the increased use of analytics also may be able to sift through…”
“The Veterans Health Administration has set a goal to increase the percent of veterans targeted through predictive modeling that receive core recommended interventions from 57 percent to 90 percent by Sept. 30, 2019. At the same time, it is critical that VA leverages third-party data…” Read the full article here.
Source: How social determinants of health and analytics can aid suicide prevention – By Suzanne Charleston, May 30, 2018. HealthData Management.
