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.