Establishes a research program to improve diagnostic safety and quality, including integrating AI-enabled tools. Requires expert panel consultation for data needs, involving the Chief AI Officer. Forms an interagency council to enhance research, policy, and collaboration in diagnosis improvement.
Analysis summaries, actor details, and coverage mappings were LLM-classified and may contain errors.
This is a binding legislative act from the United States Congress with mandatory language establishing programs, requiring specific actions, and appropriating federal funds with legal obligations.
The document has minimal coverage of AI risk domains, with limited explicit focus on AI-specific risks. Primary coverage relates to AI system safety and robustness (7.3) in the context of diagnostic tools, with implicit mentions of discrimination concerns (1.1, 1.3) through disparities research. The document focuses on healthcare quality improvement rather than comprehensive AI risk mitigation.
This legislation primarily governs the Health Care and Social Assistance sector through comprehensive diagnostic safety and quality improvement programs. It also has secondary coverage of Scientific Research and Development Services through establishment of research centers and programs, and minimal coverage of Educational Services through fellowship and training provisions.
The document addresses multiple AI lifecycle stages with primary focus on deployment and operational monitoring of AI-enabled diagnostic tools. It covers planning and design through research program establishment, verification through quality improvement research, deployment through implementation of AI tools in clinical practice, and ongoing monitoring through quality measurement and improvement activities.
The document explicitly mentions AI-enabled tools in the context of diagnostic healthcare applications. It references 'digital- and artificial intelligence-enabled tools' and involves the Chief Artificial Intelligence Officer in data planning. However, it does not define specific AI model types, compute thresholds, or distinguish between frontier, general purpose, or task-specific AI systems.
United States Congress; Senate and House of Representatives of the United States of America
The document is a Congressional bill proposed by the United States Congress, as indicated by the standard legislative format and enactment clause.
Director of the Agency for Healthcare Research and Quality; Secretary of Health and Human Services; Interagency Council on Improving Diagnosis in Health Care; National Coordinator for Health Information Technology; Chief Data Officer of the Department of Health and Human Services; Chief Artificial Intelligence Officer of the Department of Health and Human Services
The Director of AHRQ is the primary enforcer responsible for establishing and overseeing the research program, with the Secretary of HHS and the Interagency Council providing coordination and strategic oversight.
Interagency Council on Improving Diagnosis in Health Care; Congress; National Academies of Sciences, Engineering, and Medicine; Agency for Healthcare Research and Quality
The Interagency Council is responsible for developing strategic plans and reporting to Congress on progress. Congress receives biennial reports, and the National Academies will conduct an independent study on disparities.
Agency for Healthcare Research and Quality (AHRQ); National Institutes of Health; Centers for Disease Control and Prevention; Centers for Medicare & Medicaid Services; Department of Veterans Affairs; Department of Defense; Food and Drug Administration; health care improvement research centers; academic medical and institutional research centers; provider-based research networks; nonprofit entity that convenes a coalition of diverse health care stakeholders
The Act primarily targets federal health agencies and research institutions that will implement diagnostic safety programs, with secondary targets being healthcare providers and researchers who will participate in research centers and quality improvement initiatives.
3 subdomains (3 Minimal)