AMIA’s goal is to improve the legislative and regulatory environment for health informatics research, practice and education through AMIA member expertise. The primary pathway through which AMIA achieves this goal is by engaging Federal Agencies and Congress on public calls for input, such as Notices of Proposed Rulemakings (NPRMs) or Request for Information (RFIs).
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AMIA responses are arranged by Federal Agency and Congressional Committee.
AMIA, along with 75+ medical, scientific, and patient advocacy organizations, sent a letter to Congressional leadership on September 19, 2025, urging swift passage of appropriations funding NIH at $48.7 billion for fiscal year 2026. We expressed alarm over the administration's proposed 40% NIH budget cuts and disruptive policy changes, including […]
AMIA's letter to NIH supporting Option 4 for limiting publication costs in federally funded research. Option 4 would cap publication spending at 0.8% of direct costs or $20,000, whichever is greater. We argue this approach balances fiscal responsibility with research flexibility, particularly important for medical informatics research requiring multi-faceted dissemination […]
Washington, D.C. – It is the position of the American Medical Informatics Association (AMIA) that U.S. health system leaders are accountable for assuring equitable access to care and preventive services grounded in scientific evidence.
AMIA stands firmly with the scientific community in upholding the established gold standard for science, a […]
AMIA has submitted our response to CMS’s Health Tech Ecosystem Initiative, underscoring the vital role of informatics in shaping the future of health care. We highlighted our decades of leadership advancing standards like FHIR and TEFCA, training the clinical informatics workforce, and driving innovation. In our comments, we stressed protecting […]
The HTI-4 Final Rule, released July 31, 2025, introduces new requirements aimed at reducing administrative burden and improving transparency in patient care. Key changes include real-time access to prescription drug costs, automated prior authorization through standardized APIs, and integrated clinical decision support within EHRs. These updates, effective October 1, 2025 […]
America’s progress, from vaccines to space exploration, rests on rigorous, unbiased scientific inquiry. AMIA joined with the United Science Alliance, a wide coalition of scientific, academic, and public-health organizations, in sending a letter to the Office of Science and Technology Policy agreeing with the overarching goal of the Executive Order […]
AMIA joined over 350 healthcare organizations and stakeholders sent a letter to Congressional leaders on August 11, 2025, urging extension of Medicare telehealth services set to expire in September. The coalition requests permanent access or, at minimum, a two-year extension to ensure continuity of care for Medicare beneficiaries. They emphasize […]
AMIA joined with over 200 organizations, submitted a joint letter urging the DEA to finalize regulations for a special registration process that would permit telemedicine prescribing of controlled substances without requiring in-person visits. The letter emphasizes that delays in finalizing these rules jeopardize access to care for patients relying on […]
AMIA commented supporting NIH's three-stage AI strategy progression from data analytics to autonomous biomedical AI systems. We emphasized AI principles including explainability, fairness, transparency, and accountability. Key recommendations include requiring FAIR data principles for federal grants, mandating explainable AI methods, establishing "algorithmovigilance" for continuous monitoring, and developing comprehensive AI competency […]
AMIA responded to the NIH National Library of Medicine's Request for Information on future biomedical informatics research priorities. The organization addressed three key areas:
(A) Vision for the Future, highlighting unmet needs in multi-modal data integration, temporal health modeling, and precision prevention; key challenges in causal inference, real-time adaptive learning […]