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Healthcare must shift from deterministic decision-making toward probabilistic, predictive care, while developing new approaches to continuously evaluate AI as it learns and evolves.
As AI development accelerates, lasting trust will depend on rigorous clinical evidence, familiar regulatory pathways, and real-time post-market monitoring.
Healthcare has always embraced innovation, but Generative AI represents something fundamentally different. Edward Marx notes in the foreword that AI has the potential not only to improve existing practices but to redefine them.
That's exactly what the book ‘Generative AI: Unlocking the Next Chapter in Healthcare’ explores:
Real-world healthcare use cases
Responsible AI adoption
AI agents and future innovations
Privacy and governance
Practical guidance for healthcare leaders
The future of healthcare isn't about replacing people; it's about empowering them with better tools and better decisions.
Rather than deploying AI tools without workforce readiness, Sentara Health built an enterprise-wide AI literacy program to equip clinicians, administrators, and operational teams with the knowledge to use AI responsibly. The initiative includes foundational AI training, governance education, prompt engineering resources, role-based workshops, and AI certification. More than 60,000 training modules have been completed, creating a shared understanding of AI, accelerating adoption, strengthening governance, and enabling employees to identify high-value use cases while maintaining human oversight and patient safety.
"AI holds enormous promise for healthcare, but we're still in the early stages. The organizations that succeed won't be the ones deploying the most AI—they'll be the ones that build the evidence, workforce confidence, and governance needed to scale it responsibly.”
— Dr. Anne Snowdon, Scientific Director and CEO, SCAN Health and Chief Scientific Research Officer, HIMSS (The Big Unlock Podcast Episode #216)
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