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AHA urges HHS to remove barriers and set guardrails for AI use in hospitals
U.S. hospitals are using AI for clinical documentation, triage, and medical imaging, but want federal guardrails before adoption grows. The AHA is urging HHS to align AI policy with existing healthcare rules and keep clinicians in key decisions.
Hospitals Push for AI Guardrails While Adoption Accelerates
U.S. hospitals are already using artificial intelligence to improve patient care, but they're calling on federal policymakers to establish clear rules before adoption spreads further.
The American Hospital Association told the Department of Health and Human Services that AI for Healthcare tools are delivering measurable results. Ambient listening technologies now assist with clinical documentation. Chatbots handle scheduling and patient triage. Algorithms help clinicians interpret medical images.
Yet the organization emphasized that expansion must happen carefully. Four specific policy changes could accelerate adoption without compromising safety.
What Hospitals Are Asking For
Synchronize existing rules. Rather than creating new AI-specific regulations, policymakers should integrate AI policies with existing healthcare frameworks to avoid duplication.
Remove regulatory obstacles. A patchwork of state privacy laws and other statutes indirectly blocks hospitals from developing and deploying certain AI tools. Federal action could clear these barriers.
Keep clinicians in the loop. Hospitals want policies requiring clinicians to remain involved in decision-making for algorithms that affect prior authorization, access to care, or treatment decisions. Consistent privacy and security standards for third-party vendors are also essential, along with post-deployment monitoring to ensure AI tools continue working as intended.
Invest in infrastructure and incentives. Hospitals need both funding and reimbursement models to support AI adoption. This support should not replace payment for other medical services.
Real-World Applications
Houston Methodist and Rutgers Health have documented how AI reduces clinician burnout and improves hospital safety. Both organizations use cross-functional teams and a "living lab" approach-treating AI deployment as an ongoing experiment rather than a one-time installation.
These practical examples show that AI's value in healthcare depends less on the technology itself and more on how organizations implement it.
The stakes are clear. Microsoft CEO Satya Nadella said in 2019 that AI is "perhaps the most transformational technology of our time, and health care is perhaps AI's most pressing application." Getting the policy framework right will determine whether hospitals can realize that potential or get tangled in conflicting regulations.