FDA Highlights Programs for Innovators at ACR DSI Summit
The FDA joined the ACR®️ Data Science Summit June 9 to give an update about its Total Product Life Cycle Advisory Program.
Read moreA proposed rule to update regulations regarding health IT certification criteria and information blocking was published by the U.S. Department of Health and Human Services (HHS) Dec. 29. Additionally, HHS withdrew its 2024 proposed rule on these topics.
The latest proposals would reduce certification-related burdens for EHR developers, including elimination of AI model card (“nutrition label” style) transparency requirements. These model card requirements were previously intended to help providers understand if EHR-integrated AI models were “fair, appropriate, valid, effective, and safe” by making key information accessible to users about training, validation, and use. For example, a healthcare provider for pediatric patients would be able to access this information to confirm that a predictive decision support feature of their EHR platform was indeed trained and tested with pediatric data.
The proposals also provide clarifications and tightening of information blocking rules. To learn more about information blocking regulations, visit the ACR® resource page.
ACR is reviewing the latest proposed rule and preparing comments. For more information or to provide input on the proposed rule, contact Michael Peters, ACR Senior Director, Government Affairs, and Lindsay Robbins, ACR Regulatory Policy Specialist.
FDA Highlights Programs for Innovators at ACR DSI Summit
The FDA joined the ACR®️ Data Science Summit June 9 to give an update about its Total Product Life Cycle Advisory Program.
Read moreLower Fee Now in Effect to File No Surprises Act Disputes
Federal agencies released a final rule that updates the No Surprises Act independent dispute resolution process. The rule lowers the IDR administrative or filing fee from $115 to $15.
Read moreACR Urges Funding for NIH All of Us Program
ACR urges Congress to provide dedicated funding for NIH’s All of Us Research Program, a leader in precision medicine technologies and a valuable tool for researchers.
Read more