Stanford AI in Healthcare Leadership and Strategy: from Innovation to Implementation

Hybrid Program | 4 weeks

An intensive four-week hybrid learning experience designed to equip healthcare professionals with the strategic insight and practical tools needed to responsibly implement and scale AI solutions in clinical and organizational settings.

The program blends asynchronous online learning, recorded live virtual sessions, and a two-day in-person immersion at Stanford University. Participants will engage with Stanford faculty and industry leaders, explore real-world case studies, and develop strategic approaches to integrating AI in healthcare delivery.

Beyond the in-person experience, participants will deepen their learning through virtual discussions, applied exercises, and expert-led sessions that provide both conceptual understanding and practical frameworks. The program is intentionally structured to support immediate application to participants’ professional contexts.

By the end of the program, participants will walk away with awareness of best practices in healthcare AI implementation, practical frameworks for AI evaluation, and a network of peers and thought leaders to support their ongoing work in advancing responsible AI in healthcare.

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Informational Sessions


Cost	Duration	Format	Credits	Certificate
$7500 Early Bird $8000 after Nov 9	4 Weeks	Virtual with 2 days in-person	AMA	Stanford Medicine
$7500 Early Bird $8000 after Nov 9		Virtual with 2 days in-person		Stanford Medicine

Who Is This Program For?

This program is designed for healthcare leaders seeking to stay at the forefront of AI research and innovation — and translate that insight into real organizational impact.

We welcome clinical and nonclinical perspectives:

📍	Health system executives, clinical and operational leaders, and innovation leads guiding technology adoption and AI strategy
📍	Data scientists, informaticians, and digital health professionals driving cross-functional initiatives
📍	Product, engineering, and data leaders building and deploying AI solutions in healthcare

📍	Physicians, nurses, and other healthcare professionals integrating AI into clinical workflows
📍	Policy, regulatory, and quality leaders shaping responsible AI governance and ethics
📍	Business and strategy leaders from health tech, payer, and pharma sectors driving AI initiatives

What You'll Gain

Participants will leave the program with a strategic understanding of AI in healthcare and the practical tools to drive responsible implementation within their organizations.

By the end of the program, you will:

Gain fundamental knowledge of healthcare data and AI to inform strategic thinking, planning, and decision-making
Develop a personalized charter that outlines your approach to AI evaluation, governance, implementation, and change management
Learn practical frameworks to assess readiness and integrate AI solutions into clinical and operational workflows
Build skills to lead conversations on ethics, equity, and responsible AI adoption
Earn a Certificate of Completion from the Stanford Medicine Division of Computational Medicine
CME credits available for clinicians
Join a growing network of peers and faculty experts who are shaping the future of healthcare innovation

Informational Session

Have more questions? Watch the recording of the October 24, 2025 informational session below..

View Recording (October 24, 2025)

Co-hosted by the Stanford Division of Computational Medicine and Stanford AIMI

Program Directors

Jonathan H. Chen, MD, PhD

Stanford Director for Medical Education in Artificial Intelligence Division of Computational Medicine
+ Division of Hospital Medicine
+ Clinical Excellence Research Center
+ Biomedical Data Science