Leading AI Innovation in Health Care
- Certificate Program
Lead the transformation of health care by developing the strategic insight and practical tools required to implement artificial intelligence effectively and responsibly in a rapidly evolving landscape.
- Blended
This program requires attendance in-person and online.
$8,255 Save with early registration
Please see more program fee information below.
Fee increases to $8,755 after
Certificate
A certificate of completion will be awarded at the end of this program.
9 Weeks, 2-4 Hours/Week; 4 Days In Person
Before the in-person event, you will receive foundational content, attend webinars, and engage in peer discussions. After the event, you will work with a team to complete a Capstone project.
On This Page
Overview
Leading AI Innovation in Health Care is a nine-week blended postgraduate certificate program from Harvard Medical School that prepares health care leaders to strategically adopt and lead AI integration in clinical settings. Through a blend of live virtual sessions and a four-day in-person experience in Boston, participants gain the tools to address real-world challenges, navigate regulatory and organizational barriers, and drive innovation within their institutions.
Learning Objectives
- Evaluate the current and potential impacts of artificial intelligence technologies on health care systems, including patient care, clinical practices, and organizational operations.
- Analyze the regulatory landscape and implementation strategies for AI in health care through case studies from leading institutions like Harvard Business School, Mass General Brigham, and other Harvard-affiliated hospitals.
- Identify opportunities for AI integration and experimentation within your own health care organizations, leveraging insights from successful health tech companies and medical AI labs.
- Develop a strategic framework for fostering innovation and collaboration with AI-driven startups, venture studios, and research institutions to advance health care delivery and outcomes.
Who Should Participate
Designed for health care leaders and innovators seeking to shape the future of digital health. Ideal for clinical and academic leaders, industry professionals, and those driving technology adoption and innovation within their organizations.
About the Program
Gain a comprehensive understanding of how artificial intelligence is reshaping health care systems, enhancing patient care, increasing clinical efficiency, and driving innovation. Develop the strategic skills needed to implement AI technologies effectively, evaluate cost-benefit outcomes, and navigate evolving regulatory landscapes. Learn how to foster a culture of innovation by building collaborative frameworks with AI-focused startups and research institutions, strengthening your organization’s capacity for advanced, data-driven care.
Program Format
This certificate program is offered in a blended learning model, combining a four-day in-person experience with online content, networking and group learning opportunities, and a final project in which participants present an AI pitch to an innovation panel. Learners should expect to spend between 2-4 hours per week during the virtual component of the program.
- Online Content Opens: March 23, 2026
- In-Person Dates (Boston, MA): May 3-6, 2026
- Virtual Webinars and Pitch Presentations: June 7-18, 2026
Program Highlights
- Experiential Learning:
- Four-day in-person immersion experience in Boston, MA, including site visits within the Harvard-affiliated hospital network
- Capstone project focused on the development of a business plan using AI to solve a real-world health care challenge
- Innovation Workshops:
- Career development, networking, and actionable frameworks to help you succeed as an innovator in health care
- Global perspectives on AI in health care with an international cohort
- Group experiences using state-of-the-art AI tools
- Online Content:
- You will receive access to foundational AI in health care content to help orient you or refresh your existing knowledge.
- Three live webinars will complement your learning. Topics will be carefully curated to provide valuable insights into the latest advancements and research in AI and innovation within the health care industry.
Who Should Attend
Designed for health care executives and leaders, this program benefits decision-makers and strategists, including C-level executives, VPs, chief medical, information, and innovation officers, and those responsible for technology adoption and innovation strategies within institutions. It is also ideal for industry innovators, such as health tech founders, startup leaders, and investors who seek to understand the direction of digital health and network with influencers in the field. Additionally, academic and clinical leaders—including researchers, PhDs, and tech-enthusiast clinicians—seeking to understand the translational pathway for artificial intelligence applications in health care will find immense value.
Curriculum
The curriculum focuses on practical application, offering frameworks emphasizing strategic implementation and addressing high-level challenges rather than just theoretical concepts. Participants will engage in case studies, workshops, and high-fidelity medical simulations, including hands-on experiences in an artificial intelligence lab. Online content will orient learners to AI in health care and address important topics in the field. As a culminating experience in the program, participants will demonstrate an innovative mindset by developing a business plan that uses AI to solve a real-world health care challenge.
By combining these elements, the program aims to cultivate leaders equipped with advanced knowledge of the strategic use of AI in health care and an innovative mindset capable of using today's AI tools to solve the challenges of the future.
Spring 2026 Agenda | |
|---|---|
| April 20 – May 3, 2026 | |
| Pre-Immersion Activities |
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| May 3, 2026 | |
| Deep Dives at Harvard Medical School |
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| May 4 – May 5, 2026 | |
| MESH Core at Rubenstein Treehouse at Harvard University |
|
| May 6, 2026 | |
| Site Visit |
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| June 7 – June 18, 2026 | |
| Live Virtual Webinars, Discussions, and Capstone Project |
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Program Faculty and Teaching Team
Roger Daglius Dias
MD, PhD, MBA
- Associate Professor of Emergency Medicine, Harvard Medical School
- Director of Research and Innovation, STRATUS Center for Medical Simulation
- Director and Lead Investigator, Medical AI & Cognitive Engineering (MAICE) Lab
- Program Co-Director, Leading AI Innovation in Health Care
- Associate Chair of Innovation & Commercialization, Mass General Brigham
- Co-Director, Innovator Growth Division, Mass General Brigham Innovation
- Attending Radiologist, Mass General Emergency Radiology
- Associate Professor of Radiology, Harvard Medical School
- Executive Director, Mass General Brigham MESH Incubator
- Program Co-Director, Leading AI Innovation in Health Care
Shahid Azim
Managing Partner and CEO, C10 Labs
Bernard C. Bizzo, MD, PhD
Investigator, Assistant Professor, Radiology, Mass General Research Institute
Senior Director, Data Science Office, Mass General Brigham
Assistant Professor of Radiology, Harvard Medical School
Michael Freni, MBA
Vice President, Business Development and Innovation, Mass General Brigham
Venture Partner, Artificial Intelligence Digital Venture Fund (AIDIF)
Patricia Geli
Managing Partner and COO, C10 Labs
Andrew Goldsmith MD, MBA
Vice Chair, Academic Affairs
Lahey Hospital, Emergency Department
Associate Professor of Emergency Medicine, UMass Chan - Lahey School of Medicine
James Hillis, MBBS, DPhil
Neurologist and Neuroimmunologist, Massachusetts General Hospital
Instructor in Neurology, Harvard Medical School
Dereck Paul, MD
Co-Founder and Chief Executive Officer, Glass Health
Jacqueline You, MD, MBI
Digital Clinical Lead for Brigham and Women's Hospital, Digital, Mass General Brigham
Associate Physician, Primary Care Associates of Longwood, Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital
Instructor, Harvard Medical School
Spring 2026 Program Fee
Early Registration Deadline: March 4, 2026.
Applicants who submit a complete application by the early deadline and are admitted into the program will receive $500 off the program fee. This discount cannot be combined with any program fee assistance awarded. Program fees do not include airfare, accommodation, meals, or educational materials. For more information, visit Learner Policies.
| Program Fee | |
|---|---|
| Early Registration Deadline: March 4, 2026 | $8,255 |
| Registration Deadline: April 15, 2026 | $8,755 |
AI Learning Opportunities
Harvard Medical School offers a range of AI-focused learning opportunities designed for health care leaders, clinicians, educators, and professionals, with flexible formats and durations to fit diverse needs.
| Learning Opportunity | Format | Duration | Audience |
|---|---|---|---|
| Leading AI Innovation in Health Care | Blended | 3 months | Health care administrators and industry leaders |
| AI in Clinical Medicine | Live Virtual | 2 days | Physicians and other clinicians |
| AI in Medicine: HMX Short Courses | Self-paced online | 3-4 hours each | Science and business professionals, clinicians |
| AI in Health Care: Strategies and Implementation | Self-paced and live virtual | 2 months | Business leaders and professionals |
| Technology and AI: Transforming Health Professions Education | Live Virtual | 2 months | Health care educators |
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Alumni Ambassador Spotlight
Jaime Aguirre, MBA
How has the program influenced your professional growth or opened new opportunities in your career?
The program has had a significant impact on my professional growth and career direction. It illuminated the tremendous opportunity that exists today to develop new tools at the intersection of artificial intelligence and health care. Through the program, I gained a clearer understanding of how innovation can translate into real-world improvements in clinical outcomes and patient care. My visit to C10 Labs further reinforced this perspective, as I saw firsthand how emerging entrepreneurs are using AI to enhance health care delivery for both patients and clinicians. The experience inspired me to pursue projects that bridge technical expertise with meaningful impact in the health sector.
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