Stanford AI in Healthcare Leadership and Strategy: from Innovation to Implementation
Hybrid Program | 4 weeks | May - June
Stanford AI in Healthcare Leadership and Strategy: from Innovation to Implementation
Hybrid Program | 4 weeks | May - June
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.
Cost
$7500 Early Bird
$8000 after Nov 9
Duration
4 Weeks
May – June
Format
Virtual with 2
days in-person
Credits
AMA
Certificate
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
Guest Lecturers
Program Directors

Jonathan H. Chen, MD, PhD
Associate Professor, Stanford Division of Computational Medicine
Director for Medical Education in Artificial Intelligence

Ethan Goh, MD, MS
Executive Director, Stanford ARISE (AI Research and Science Evaluation) Network
BMJ Digital Health & AI (Founding Editorial Board)
Informational Sessions
Join an information session to learn more about Stanford AI in Healthcare Strategy and Leadership: from Innovation to Implementation, a hybrid 1-month program ($8,000, May/June 2026) designed to advance your professional development in AI strategy, governance, and organizational adoption. The program features frameworks, best practices, and discussions led by Stanford Medicine faculty, Silicon Valley innovators, and a peer network of senior leaders.
October 24, 2025
12 PM PST
Feb 13, 2026
12 PM PST











