How can HHS drive clinical AI adoption? The industry wish list is starting to take shape

March 2, 2026 - 12:55

A clear set of priorities from the healthcare technology industry is emerging, outlining how the Department of Health and Human Services (HHS) can actively foster the safe and swift integration of artificial intelligence into clinical practice. This collective wish list, shaped by leading health systems, established tech firms, and innovative AI startups, moves beyond general advocacy to offer specific regulatory and strategic guidance.

Central to the industry's appeal is a call for greater regulatory clarity and modernization from the FDA and the Centers for Medicare & Medicaid Services (CMS). Stakeholders are urging for streamlined, predictable pathways for AI software validation that can keep pace with the rapid iteration of algorithms. There is also a strong push for the establishment of standardized clinical evaluation frameworks and real-world performance monitoring guidelines to ensure patient safety without stifling innovation.

Furthermore, industry leaders emphasize the need for HHS to address critical infrastructure hurdles. This includes promoting improved data interoperability and access to diverse, high-quality datasets necessary for training robust, unbiased AI models. Advocates also highlight the necessity for updated reimbursement models that recognize the value of AI-assisted clinical decision-making, ensuring healthcare providers have the financial viability to adopt these transformative tools. The consensus is that proactive federal leadership is essential to unlock AI's full potential in improving patient outcomes and healthcare efficiency nationwide.