AI now assists with everything from diagnostic imaging and clinical decision support to personal chatbots, but there is no centralized, healthcare-specific mechanism tracking how often these tools produce incorrect or misleading outputs, and how often those outputs reach a patient.
As the adoption of AI in healthcare continues to accelerate, ECRI calls on healthcare providers, systems, and clinicians nationwide to report AI-related incidents.
ECRI announced an expansion of its Problem Reporting Network to specifically capture and investigate errors, malfunctions, and near misses involving artificial intelligence (AI) tools and AI-enabled devices used in patient care.
In a recent ECRI survey of 124 respondents — mostly quality, safety, risk or compliance leaders — nearly one-third said they encountered an AI output they believed was incorrect or misleading over the past year (31%), while 34% had not, and 35% were unsure.
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