HOPPS Proposed Rule Would Grow Site-Neutral Imaging Payments
ACR® has prepared a preliminary summary of the 2027 HOPPS proposed rule released by CMS July 2. CMS proposes to increase outpatient hospital payment rates by 2.4%.
Read moreACR® filed comments to HHS in response to a proposed rule to update regulations regarding health IT certification criteria and information blocking. The proposals would reduce certification-related burdens for EHR developers, including elimination of AI model card (similar to nutrition labels on food products) transparency requirements, and would provide clarifications and tightening of information blocking rules.
In its comments, ACR recommended that the Assistant Secretary for Technology Policy (ASTP) continue to promote algorithm transparency for clinical AI through regulatory requirements, and coordinate transparency efforts with the FDA to ensure consistency across HHS.
Related to information blocking, ACR urged ASTP to codify the previously-proposed requestor preference exception, which would allow a provider to tailor a patient’s access to their electronic health information (such as images) based on the patient’s preference. This exception would ensure providers can ethically share test results based on the patient’s timeframe without engaging in information blocking.
To learn more about information blocking regulations, visit the ACR® resource page.
For questions about the HHS proposed rule, contact Lindsay Robbins, ACR Regulatory Policy Specialist.
HOPPS Proposed Rule Would Grow Site-Neutral Imaging Payments
ACR® has prepared a preliminary summary of the 2027 HOPPS proposed rule released by CMS July 2. CMS proposes to increase outpatient hospital payment rates by 2.4%.
Read moreACR Weighs in on NRC Standard General License Proposal
ACR supports easing NRC licensing burdens but urges limits on new SGL use, ensuring existing training standards and clarity within broader regulatory reforms.
Read moreDr. Pisano Highlights ACR AI Leadership and Builds International Connections
Etta Pisano urged global collaboration on safe, effective medical AI and highlighted ACR programs advancing AI standards and clinical trial innovation.
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