Recommendations to ensure safety of AI in real-world clinical care

Recommendations to ensure safety of AI in real-world clinical care
JAMA; Dean F. Sittig, PhD; Hardeep Singh, MD, MPH; 11/24
As HCOs [health care organizations] adapt their clinical and administrative workflows to new AI [artificial intelligence]-driven technologies, unintended adverse consequences will inevitably occur, particularly during transitions. To address these risks, HCOs and AI/EHR [electronic health record] developers must collaborate to ensure that AI systems are robust, reliable, and transparent. HCOs must proactively develop AI safety assurance programs that leverage shared responsibility principles, implement a multifaceted approach to address AI implementation, monitor AI use, and engage clinicians and patients. Monitoring risks is crucial to maintaining system integrity, prioritizing patient safety, and ensuring data security.