Requires Medicare to separately reimburse algorithms in automated insulin delivery systems to promote innovation. Expands access to diabetes technologies and training. Establishes new billing codes for insulin pump education. Proposes national coverage decision on insulin pumps. Evaluates barriers to diabetes technology access.
Analysis summaries, actor details, and coverage mappings were LLM-classified and may contain errors.
This is a proposed federal statute (bill) from the United States Congress that would create binding legal obligations on the Secretary of Health and Human Services and establish enforceable Medicare coverage requirements. The document uses mandatory language throughout ('shall') and would have the force of law if enacted.
This document has minimal to no coverage of AI risk domains. It is a healthcare policy document focused on Medicare coverage for diabetes technologies and does not address AI-specific risks. While it mentions algorithms in automated insulin delivery systems as medical devices requiring reimbursement, it does not discuss risks associated with AI systems such as discrimination, security vulnerabilities, misinformation, or system safety failures.
This document primarily governs the Health Care and Social Assistance sector, specifically Medicare coverage and reimbursement for diabetes technologies. It also has implications for the Scientific Research and Development Services sector regarding innovation in automated insulin delivery systems, and the Information sector regarding algorithms and software used in medical devices.
The document primarily addresses the deployment and operational monitoring stages of AI lifecycle for algorithms in automated insulin delivery systems. It focuses on ensuring Medicare reimbursement for deployed algorithms/software and establishing certification processes for ongoing use, rather than development, testing, or validation stages.
The document explicitly mentions algorithms and software as components of automated insulin delivery systems. It does not use standard AI terminology like 'AI models' or 'AI systems' but refers to medical device algorithms that learn user behavior. There is no mention of frontier AI, general purpose AI, foundation models, generative AI, or compute thresholds.
United States Congress (Senate and House of Representatives)
The document is a bill proposed by Congress, as indicated by the opening text 'Be it enacted by the Senate and House of Representatives of the United States of America in Congress assembled'.
Secretary of Health and Human Services, Centers for Medicare & Medicaid Services, Medicare administrative contractors, audit and oversight entities
The Secretary of Health and Human Services is given enforcement authority through rulemaking, guidance issuance, and oversight of Medicare administrative contractors. The document also references audit and oversight entities that will ensure compliance.
Comptroller General of the United States (Government Accountability Office), Secretary of Health and Human Services, Committee on Finance, Committee on Health, Education, Labor, and Pensions (Senate), Committee on Energy and Commerce, Committee on Ways and Means (House of Representatives)
The Comptroller General is tasked with assessing barriers to diabetes technology access and reporting to Congressional committees. The Secretary collaborates in this monitoring effort.
Secretary of Health and Human Services, Centers for Medicare & Medicaid Services, Medicare administrative contractors, providers (physicians, nurse practitioners, clinical nurse specialists, physician assistants, certified nurse-midwives), manufacturers of diabetes technologies including automated insulin delivery systems with algorithms/software
The document targets government agencies responsible for Medicare administration and healthcare providers who must certify diabetes technology use. It also implicitly targets developers of automated insulin delivery systems whose algorithms/software will be separately reimbursed under the new framework.