In recent years, organizations have been developing and using predictive models, which are powered by artificial intelligence (AI) and machine learning (ML) technologies, for numerous use cases in clinical and health care settings, including to aid in clinical decision-making. Currently, healthcare AI systems and tools have both clinical and administrative applications, namely monitoring patients, recommending treatments, predicting health trajectories, recording clinical notes, optimizing operational processes, and supporting population health management.

The Department of Health and Human Services (HHS) and federal agencies have been developing policies to advance transparency and manage risks for the development and use of AI/ML-powered health care technologies. Most recently, the Office of the National Coordinator for Health Information Technology (ONC) issued regulations that addresses predictive models and health AI systems.Continue Reading Taking a Closer Look at ONC’s AI Transparency Regulations