Using machine learning to identify individuals at risk for intimate partner violence

Researchers at Mass General Brigham have developed a series of artificial intelligence (AI) tools that uses machine learning to identify individuals who may be at risk for intimate partner violence (IPV) using information from their electronic medical records (EMRs). In a study published in npj Women’s Health, the researchers report the tools could detect IPV up to four years before the individual sought care at a domestic violence treatment center. The findings highlight its potential for proactive screening and supporting healthcare providers in initiating earlier conversations about IPV with patients.

Our research offers proof of concept that AI can support clinicians in flagging possible abuse earlier. Earlier identification of intimate partner violence and future risk may enable clinicians to…

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