The Automated Intimate Partner Violence Risk Support System (AIRS) is designed to identify patients at risk for intimate partner violence (IPV) in emergency settings. Implemented at Brigham and Women's Hospital and validated at UC-San Francisco, AIRS uses Electronic Health Records to analyze clinical history and radiologic data. Key insights from system development emphasize the importance of data labeling quality in AI healthcare. AIRS aims to equip clinicians with the skills to spot IPV, indicating serious correlation between specific injuries and abuse, thereby enhancing patient care and safety.
AIRS utilizes clinical history and radiologic data to identify patients at risk for intimate partner violence, providing crucial insights for timely intervention.
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