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HHS Unveils Plan to Centralize AI Adoption, Cut Costs
The Department of Health and Human Services (HHS) announced Thursday a comprehensive strategy to deploy and centralize the use of artificial intelligence (AI) across the agency, aligning with the Trump management’s broader efforts to reduce government spending and embrace new technologies. The initiative prioritizes resource sharing, establishing a robust governance structure, and leveraging AI for critical public health initiatives.
The HHS plan, while initially focused internally, signals an intent to collaborate with the private sector to identify and address key health challenges through AI-powered solutions.
The move follows an executive order from President Donald Trump and subsequent directives from the Office of Management and Budget earlier this year, compelling federal agencies to accelerate their adoption of AI technologies. several HHS departments have already begun exploring AI applications. The Food and Drug Administration (FDA) recently announced its intention to utilize “agentic AI” to streamline premarket reviews, while the Centers for Disease Control and Prevention (CDC) revealed plans to employ AI for analyzing public health data as early as September.
The agency’s new strategy, dubbed “OneHHS,” aims to consolidate AI tools and resources across all departments and provide training to employees “at all levels” on how to effectively utilize these technologies. “for too long, our Department has been bogged down by bureaucracy and busy-work; even the most productive public servants are mired in paperwork and process,” stated Jim O’Neill, deputy secretary of HHS, in a released statement. “Its time to tear down those barriers.”
A key component of the strategy involves a preliminary assessment of existing AI tools within HHS to evaluate the agency’s overall “maturity” in AI implementation. HHS will also establish a centralized database of AI tools and a governance board comprised of senior leaders from across its divisions. This board will convene at least twice annually to streamline project approvals, monitor tool performance, and develop risk protocols for “high-impact AI” applications. HHS did not disclose the specific members of the board.
Furthermore, the agency intends to increase funding for scientific programs utilizing AI in biomedical research and growth, and to support the integration of AI tools for “clinical decision support” – technologies designed to assist doctors and clinicians in patient care.
HHS has outlined specific, measurable goals for the accomplished implementation of AI, including reductions in hospital readmissions, lower sepsis mortality rates, fewer needless emergency department revisits, and improved infant and maternal health outcomes.
The agency’s strategy arrives as the healthcare industry increasingly turns to AI to address persistent challenges such as staffing shortages and burdensome administrative tasks. However, the adoption of AI is not without risks. Concerns surrounding inaccurate responses and biased data raise potential consequences for both patients and providers.
Currently, the industry lacks comprehensive federal guidance on mitigating these risks. A sweeping executive order signed by then-President Joe Biden in January to address AI deployment in healthcare was rescinded shortly after the start of the second Trump administration. while President Trump has signaled support for AI adoption, specific healthcare-focused plans have been limited.
The push for AI adoption at HHS also coincides with a important agency-wide restructuring, including
