AI/ML

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On December 17, 2024, the House Task Force on Artificial Intelligence (Task Force) released a highly-anticipated report titled, “Bipartisan House Task Force Report on Artificial Intelligence,” (the Report) which establishes guiding principles and issues recommendations to guide U.S. innovation in artificial intelligence (AI), including in the healthcare sector. The Report is intended to serve as a blueprint for Members of Congress as they conduct oversight and introduce legislation to address advances in AI technologies, including the regulation of health-specific AI applications.Continue Reading House Task Force on AI Issues Report and Proposes Healthcare Recommendations

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

On December 13, 2023, the U.S. Department of Health and Human Services’ (HHS) Office of the National Coordinator for Health Information Technology (ONC) released the Health Data, Technology, and Interoperability: Certification Program Updates, Algorithm Transparency, and Information Sharing (HTI-1) Final Rule.Continue Reading ONC Releases Final Rule on Information Blocking and Health IT Certification Program Updates, Including Requirements Related to AI

On October 24, 2023, the U.S. Food and Drug Administration (“FDA”), Health Canada, and the U.K.’s Medicines and Healthcare products Regulatory Agency (“MHRA”) jointly released a publication identifying five guiding principles for predetermined change control plans (“PCCP”) for machine learning-enabled medical devices (“MLMD Guiding Principles”).Continue Reading FDA Releases Predetermined Change Control Plans for Machine Learning-Enabled Medical Devices: Guiding Principles

Last week, Ranking Member Bill Cassidy (R-LA) of the Senate Committee on Health, Education, Labor and Pensions (“HELP”) issued two separate requests for information (“RFIs”) asking for stakeholder feedback on artificial intelligence (“AI”) and health data privacy policy issues to identify current challenges and receive recommendations to inform potential legislation.  With deadlines set for the end of September, each RFI provides a short window for organizations to submit comments.Continue Reading Senate HELP Committee Ranking Member Requests Stakeholder Feedback on AI and Health Data Privacy and Security Policies

On October 27, 2021, the U.S. Food and Drug Administration (FDA) in collaboration with Health Canada, and the UK’s Medicines and Healthcare products Regulatory Agency (MHRA), published Guiding Principles for the use of artificial intelligence and machine learning (AI/ML) in medical devices.   The principles are designed to support good machine learning practices (GMLP) and to help promote safe, effective, and high-quality medical devices that use AI/ML. The FDA is accepting public comment on these principles on an ongoing basis.
Continue Reading FDA Publishes Principles for AI and ML in Medical Devices