Pragmatic Approaches to the Evaluation and Monitoring of Artificial Intelligence in Healthcare
Published: November 10, 2025
- AI adoption in health care is accelerating faster than traditional evaluation frameworks, creating urgent challenges around safety, fairness, and clinical impact.
- Effective governance requires a structured, risk-proportionate approach across pre-deployment, implementation, and post-deployment phases, anchored in strategic, ethical, clinical, and financial principles.
- Sustainable and responsible AI integration depends on continuous real-world evidence generation, transparent monitoring, and collaboration among health systems, professional societies, and clinicians to safeguard patient outcomes.
Pragmatic Approaches to the Evaluation and Monitoring of Artificial Intelligence in Health Care
Writing Group Chair Lee H. Schwamm, MD and Vice Chair Sneha S. Jain, MD, MBA talk about a Presidential Advisory from the American Heart Association offers pragmatic approaches for implementing artificial intelligence in health care settings.