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.
Boston, MA
Program fee information will be updated soon.
Certificate
A certificate of completion will be awarded at the end of this program.
7 Weeks, 2-4 Hours/Week; 5 Days In Person
In between the in-person requirements, you will attend virtual expert-led webinars, team-based project meetings, and sharing final presentations to a Health Care AI and Innovation Panel.
On This Page
Overview
Leading AI Innovation in Health Care is a two-month postgraduate certificate program designed for health care leaders, visionaries, and innovators. This program equips participants with the tools and insights needed to navigate and adopt rapid advancements in artificial intelligence (AI) technology within health care, ensuring they stay at the forefront of technological advancements in the industry.
Leading AI Innovation in Health Care combines live virtual online learning with a five-day in-person experience in Boston. Participants will engage and learn within one of the world’s most innovative health care ecosystems within the Harvard-affiliated hospital network. Health care is undergoing a transformation, with AI becoming a core component of clinical decision-making and patient care. The increasing integration of AI demands leaders who can effectively navigate this shift and lead with informed, adaptive strategies. As clinicians and health care administrators become more open to embracing AI, the need for leadership that can guide safe, effective, and impactful AI implementation is urgent. Health care systems are pressured to improve efficiency and reduce costs while delivering high-quality patient care. Health care leaders must be equipped with the tools to adopt AI technologies and address the complex challenges of AI integration, from regulatory hurdles to organizational change.
This program addresses the pressing need for education on the use, benefits, and challenges of AI, preparing health care systems to adapt efficiently and cost-effectively. The goal is to provide a strategic understanding of AI’s role in health care innovation.
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 their 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.
Participant Types
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 five-day in-person experience with virtual expert-led webinars, team-based project meetings, and final presentations to a Health Care AI and Innovation Panel. Learners should expect to spend between 2-4 hours per week during the virtual component of the program.
Program Highlights
- Experiential Learning:
- Five-day in-person immersion experience in Boston, MA, including site visits within the Harvard-affiliated hospital network.
- Team-based project focused on practical implementations of AI, culminating in a presentation to a Health Care AI and Innovation Panel.
- Attendance at the MESH Core 2025 Health Care Innovation Bootcamp.
- Conference Toolkit:
- 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.
- Expert-Led Webinars:
- An introduction to AI in health care, including current trends, market dynamics, and key applications.
- Clinical Implementation of AI in Health Systems
- Venture insights, including investor expectations, HealthTech entrepreneurship, and innovation opportunities.
- Harvard Business School Case Study - AI Implementation
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 and high-fidelity medical simulations, including live case studies and hands-on experiences in artificial intelligence labs, fostering an innovative mindset by experiencing AI in real-world health care settings. Additionally, team-based projects will allow participants to present to a panel of expert faculty for real-time feedback, promoting collaborative learning and providing valuable, actionable insights.
By combining these elements, the program aims to cultivate leaders equipped with advanced knowledge of the strategic implications of AI in health care and an innovative mindset capable of adapting and thriving in a fast-evolving digital landscape.
Leading up to the start of the program, your learning experience is enhanced with three foundational live online sessions on AI in Health Care. While we encourage you to join the live sessions to engage directly with experts and peers, recordings will be available for your convenience. These carefully curated sessions will provide valuable insights into the latest advancements and research in AI and innovation within the health care industry. In addition, there are two expert-led live online sessions to complement your learning after the in-person immersion experience during the virtual component of the program.
Spring 2025 Agenda | |
|---|---|
| April 14–May 5, 2025 | |
| Foundational Live Online Sessions (Recordings are available) |
|
| May 11, 2025 | |
| In Person at Mass General Brigham at Assembly Row | Participant Introductions, MESH Core and Site Visit, Discussion, Welcome Dinner |
| May 12–13, 2025 | |
| MESH CORE 2025 at Mass General Brigham at Assembly Row | Attendance at the Mass General Brigham MESH Incubator Official Health Care Innovation Bootcamp and daily recaps with Program Directors |
| May 14–15, 2025 | |
| Site Visit Deep Dives |
|
| May 16–June 26, 2025 | |
| Bi-Weekly Live Online Sessions / Individual Team meetings |
|
| June 27, 2025 | |
| Health Care AI and Innovation Panel Presentations and Final Celebration |
|
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
- Assistant 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
Iavor I. Bojinov
Assistant Professor of Business Administration, Harvard Business School
Richard Hodgson Fellow, Harvard Business 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
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
David Ting, MD
Chief Medical Information Officer, Mass General Physicians Organization
Co-Director, MGH Center for Innovation in Digital HealthCare
Assistant Professor, Harvard Medical School
Spring 2025 Program Fee
Early Application Deadline has passed.
Please review our Frequently Asked Questions for information about payment and policies.
| Program Fee | |
|---|---|
| Application Deadline: April 14, 2025 | $8,500 |
| Early Application Deadline: March 14, 2025 | $8,000 |
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