The U.S. Department of Health and Human Services (HHS) is actively seeking public input on how to accelerate the integration of artificial intelligence (AI) into clinical care. This initiative, announced Thursday, builds upon the agency’s recently released AI Strategy and the broader national AI policy framework, signaling a significant push to leverage the potential of AI to improve healthcare delivery and outcomes. The move comes as AI technology rapidly advances, offering possibilities for more efficient workflows, improved diagnostics, and personalized treatment plans.
This isn’t simply a theoretical exercise. HHS is aiming to identify concrete actions it can grab, utilizing its regulatory authority, reimbursement mechanisms, and research and development funding to foster AI adoption. The department recognizes the transformative potential of AI, but also acknowledges the require for careful consideration of ethical implications, data privacy, and equitable access. The current effort represents a “first step” toward realizing a future where AI is seamlessly integrated into the American healthcare system, according to HHS officials.
The request for information (RFI), published December 23, 2025, in the Federal Register, specifically targets those directly involved in the development, implementation, and apply of AI in clinical settings. HHS is particularly interested in hearing from AI tool builders, healthcare providers implementing these tools, and clinicians who envision using AI but face obstacles. The deadline for submitting comments is 60 days after publication, urging stakeholders to contribute their insights promptly. The RFI is available for review on the Federal Register website: Read the AI RFI.
Building on Previous AI Initiatives
This latest move by HHS is not occurring in a vacuum. It’s a continuation of a broader effort to integrate AI across the federal government. In December 2025, HHS unveiled its AI Strategy, outlining a plan to develop AI accessible to the federal workforce and integrate it into internal operations, research, and public health initiatives. HHS Unveils AI Strategy. This strategy aligns with the administration’s overall AI policy framework, which aims to promote American leadership in AI innovation although addressing potential risks. The earlier framework was established through Executive Order 14179, “Removing Barriers to American Leadership in AI,” and further guidance from the Office of Management and Budget (OMB).
The Trump administration had previously demonstrated enthusiasm for AI, encouraging federal employees to utilize chatbots and AI assistants. However, President Biden issued an executive order to establish guardrails for AI use, which was later repealed by President Trump upon taking office. The current administration is now focused on removing barriers to AI adoption across the federal government, as evidenced by the HHS RFI and the broader AI strategy. This shift reflects a growing recognition of AI’s potential benefits, coupled with a commitment to responsible implementation.
Three Key Levers for AI Acceleration
HHS intends to leverage three primary mechanisms to accelerate AI adoption in clinical care: regulation, reimbursement, and research and development. The RFI seeks input on how each of these levers can be used most effectively. Regarding regulation, HHS is exploring ways to streamline approval processes for AI-powered medical devices and ensure that AI systems meet rigorous safety and efficacy standards. Here’s a complex challenge, as AI algorithms are constantly evolving and require ongoing monitoring and evaluation.
Reimbursement is another critical factor. Currently, it can be difficult for healthcare providers to get reimbursed for services that utilize AI tools. HHS is considering changes to reimbursement policies to incentivize the adoption of AI technologies that demonstrate improved patient outcomes and cost-effectiveness. This could involve creating new billing codes for AI-assisted procedures or adjusting existing reimbursement rates to reflect the value added by AI.
Finally, HHS is committed to investing in research and development to advance the field of AI in healthcare. This includes funding research into new AI algorithms, developing standardized datasets for training AI models, and supporting the development of AI tools that address unmet clinical needs. The National Institutes of Health (NIH), a component of HHS, is likely to play a key role in this research effort.
Addressing Concerns and Ensuring Responsible AI Use
The push for greater AI adoption is not without its challenges. Concerns about data privacy, algorithmic bias, and the potential for job displacement are all valid and need to be addressed. HHS is aware of these concerns and is committed to ensuring that AI is used responsibly and ethically. The RFI specifically asks for input on how to mitigate these risks and promote equitable access to AI-powered healthcare.
One key area of concern is the protection of patient health information. HHS is working to ensure that AI systems comply with the Health Insurance Portability and Accountability Act (HIPAA) and other relevant privacy regulations. The department is also exploring the use of privacy-enhancing technologies, such as differential privacy and federated learning, to protect patient data while still allowing AI models to be trained and deployed. HHS recently released new FAQs addressing information blocking, including practices that could interfere with the use of automation technologies and access to electronic health information. Information Blocking FAQs.
The Role of Robert F. Kennedy Jr. And the Current Administration
U.S. Secretary of Health and Human Services Robert F. Kennedy Jr. Has publicly supported the integration of AI into healthcare, viewing it as a tool to improve efficiency and patient care. His leadership is driving this initiative forward, building on the foundation laid by previous administrations. Deputy HHS Secretary Jim O’Neill emphasized the need to overcome bureaucratic hurdles and embrace technology to “Make America Healthy Again.” This sentiment underscores the administration’s commitment to leveraging AI to address pressing healthcare challenges.
However, the expansion of AI use also raises questions about data security and patient privacy, particularly given past concerns about data breaches and the potential for misuse of health information. HHS is expected to address these concerns through robust regulatory oversight and the implementation of stringent data security protocols.
What’s Next?
The comment period for the RFI will remain open for 60 days following its publication in the Federal Register. HHS will then review the comments and use them to inform its AI strategy and policy decisions. The department is expected to release a more detailed plan for accelerating AI adoption in clinical care in the coming months. Stakeholders are encouraged to submit their feedback and contribute to this important conversation.
The ongoing development of AI in healthcare promises to reshape the landscape of medical practice. By actively soliciting input from stakeholders and addressing potential challenges proactively, HHS aims to harness the power of AI to improve the health and well-being of all Americans. The next key date to watch is approximately 60 days from December 23, 2025, when the comment period closes and HHS begins analyzing the submitted feedback.
Share your thoughts on the future of AI in healthcare and contribute to the conversation by leaving a comment below. Let’s work together to ensure that AI is used responsibly and effectively to improve patient care.
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