Presenting machine learning model information to clinical end users with model facts labels

Summary

The biggest barrier to AI adoption isn't technical—it's getting doctors and nurses to trust and consistently use AI tools in their daily practice. Dr. Sendak and his colleagues at DIHI developed the first Model Facts Label ever used for an AI solution in healthcare. The Model Facts framework advances use of AI by front-line clinicians by providing a standardized approach to communicate AI capabilities, limitations, and appropriate use cases to healthcare workers. Like nutrition labels on food, these labels build clinician confidence and drive consistent utilization across care teams, turning AI skeptics into effective users.