HHS has launched the OneHHS AI Strategy a department-wide roadmap to integrate artificial intelligence across its major agencies (including Centers for Disease Control and Prevention (CDC), Food and Drug Administration (FDA), Centers for Medicare & Medicaid Services (CMS), and National Institutes of Health (NIH)) aiming to consolidate AI use under a common framework to streamline operations, boost research, and modernize public-health workflows.
Glimpse:
Under the OneHHS plan, AI adoption will follow five core pillars governance & risk management; user-centric infrastructure; workforce training and burden reduction reproducible health research and modernization of care-delivery & public-health systems. The strategy promises to break down silos by creating shared data platforms, standardized AI tools and workflows across all divisions enabling faster, unified deployment of AI solutions.
On 4 December 2025, HHS formally released its OneHHS AI Strategy a 20-page document outlining how it plans to integrate artificial intelligence across internal operations, research programmes, and public-health delivery systems.
The strategy draws in all major HHS agencies: CDC, FDA, CMS, NIH and others. By bringing them under a common AI infrastructure and governance framework, HHS aims to reduce fragmentation, improve interoperability, and ensure consistent standards for privacy, security and data use. HHS defines five guiding pillars for AI rollout
Governance & Risk Management: Creating oversight structures (AI-governance board, risk-assessment protocols), maintaining a public registry of AI use cases, and ensuring transparency to build public trust.
Infrastructure & Platform Design: Building shared computing/data platforms (“AI Commons”) that divisions can use to deploy, test, scale AI tools reducing duplication and cost.
Workforce Development & Burden Reduction: Equipping staff with AI-skills, tools and training so that AI augments their work automating repetitive tasks and freeing time for impact-oriented work.
Health Research & Reproducibility: Using AI to support robust health research, data-driven public-health analysis, and reproducible scientific studies with better access to data and analytics.
Public Health & Care Delivery Modernization: Applying AI tools to improve disease surveillance, patient care, public-health response, and administration of health services, aiming for improved outcomes and efficiency.
HHS leadership argues the initiative will cut bureaucratic friction, enhance data-driven decision-making, and accelerate health-system responsiveness. Deputy Secretary Jim O’Neill commented that AI can “streamline operations and enhance support for care delivery throughout the entire health-care industry.”
To date, HHS reported more than 270 active or planned AI use cases in the 2024 inventory a ~66% increase over the previous year underlining how AI adoption was already underway even before the formal strategy.
“For too long, our Department has been bogged down by bureaucracy and busy-work. It is time to tear down these barriers and unite in our use of technology to Make America Healthy Again.”
By
HB Team
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