
The AI in Health Care program from Harvard Medical School Executive Education is an eight-week online program that equips health care leaders to design, pitch and implement AI-driven solutions that improve patient outcomes, integrate AI technologies and drive transformative change in health care systems.
While artificial intelligence in health care offers more personalized and precise treatment options, implementing artificial intelligence in clinical settings can be complex. The program focuses on real-world applicability, using case studies and actionable frameworks to tackle data quality, bias, trust, regulatory demands, and skills gaps, equipping leaders to advance patient-centric innovation.
The Artificial Intelligence in Health Care program is designed for leaders and innovators, including:
Medical professionals and researchers who are seeking practical knowledge of how to integrate AI technologies to transform health care processes and improve decision making in patient care
Health care leaders and executives who seek a deeper understanding of how to implement AI initiatives that improve patient care, enhance operational efficiency, foster innovation and give their organizations an edge in today’s complex health care landscape
AI technology and innovation enthusiasts who understand AI’s potential to transform health care and want to lead innovation to create cutting-edge solutions that meet the needs of today’s health care systems and patients
Health care consultants, regulators and policymakers who are guiding organizations through the adoption of AI-driven solutions or developing policies for the use of AI in healthcare
Understand the fundamentals of modern AI, including the role data and computing play in building successful applications, to improve overall patient experiences and outcomes.
Evaluate existing AI systems in health care to quantify their strengths and weaknesses.
Identify new opportunities to address modern health care needs with AI.
Assess the potential biases and ethical implications of AI technologies in health care settings to ensure that any AI solution promotes data privacy, data integrity and trust.

Capstone project

Certificate of completion from Harvard Medical School Executive Education

Crowdsourcing

Guest speakers

Immersive discussions

Polls and knowledge checks

Weekly live office hours with the course facilitator

Live session with lead faculty

Real-world examples and case studies

Practical, scenario-based assignments

Leveraging the AI development pipeline to optimize health care solutions

Employing machine learning to collect real-time health data

Approaching new opportunities for AI in health care

Using generative AI for innovation in health care

Applying the principles of human-centered design to health care solutions

Leveraging AI to offset bias in health care
The Artificial Intelligence in Healthcare program incorporates a capstone project requiring you to ideate and pitch a new AI-first health care solution that addresses a modern-day need. The project will prepare you to design and implement innovative, real-world solutions that elevate the level of care your organization offers to today’s health care consumers. The project will span the course of the program, enabling you to incorporate the concepts and frameworks you learn in each module to develop your pitch.
Through this eight-week online program, you will develop a deep understanding of real-world data, digital medicine and AI applications. You will learn to translate AI concepts into actionable AI solutions that enhance patient care and support innovation in health care systems. The learning experience encompasses recorded and live sessions with faculty and guests, interactive discussions, weekly live office hours, scenario-based assignments, case studies, real-world examples and a capstone project.
Q&A with Faculty
A live Q&A session exploring real-world applications of AI in healthcare. Topics typically include project validation, adoption challenges, data partnerships, regulatory considerations, and strategies for launching AI-driven initiatives.
Note: Session topics are not final. They are subject to change and may evolve based on faculty insights and participant queries.
Capstone Presentation
Experience a dynamic exchange of ideas as a finalist presents innovative AI-first healthcare solutions. This optional session offers an opportunity to explore diverse approaches, spark new thinking, and celebrate creativity in advancing healthcare through AI, with a final vote from attending participants to determine the strongest capstone.
Algorithmic Trust: Leveraging predictive models for decision making
Model Cards: Building transparency and trust in an AI model
Machine Learning for Wearables: Designing solutions that combine machine learning and wearable data
AI Viability in Health Care: Training and developing an AI model
At Harvard Medical School, the Corporate Learning team provides emerging and established organizations with the knowledge they need to address the industry's toughest business challenges. Our extensive portfolio, including a range of cutting-edge Executive Education programs, helps teams achieve their potential by advancing their knowledge and capabilities in areas ranging from medical science and emerging diseases to employee health and wellness, and how artificial intelligence is shaping health care and advancing digital innovation. A comprehensive ecosystem of online, in-person, and hybrid solutions supports learners at all levels—from new hires to CEOs and their leadership teams.

Chief Technology Officer, Lila Sciences; Associate Professor, Harvard Medical School
Andrew Beam, PhD is an expert in machine learning for biology and medicine, and is an associate professor in the Dept. of Epidemiology at the Harvard T.H. Chan School of Publi...

Physician-Scientist; Deputy Editor, NEJM AI
Lily Peng, MD, PhD, is a physician-scientist and the deputy editor of NEJM AI. She is a former product manager, with a focus on data-driven health care solutions and applicati...

Product Manager, Google Health
Sunny Virmani is a product manager with Google Health. He focuses on product development and global marketing of diverse medical imaging technologies. He holds a BS in instrum...

Chief health AI officer at UC San Diego Health
Karandeep Singh, MD, MMSc, is the chief health AI officer at UC San Diego Health and the Joan and Irwin Jacobs Endowed Chair in Digital Health Innovation. He teaches a health ...

Assistant professor at MIT in electrical engineering and computer science (EECS)
Marzyeh Ghassemi, PhD, is an assistant professor at MIT in electrical engineering and computer science (EECS) and Institute for Medical Engineering and Science (IMES) and a Ve...

Principal at Flagship Pioneering and works as part of a venture-creation team
Molly Gibson, PhD, is a principal at Flagship Pioneering and works as part of a venture-creation team to find and grow organizations at the intersection of biology and machine...

President and CEO of Sage Bionetworks.
Over the past decade, Foschini’s research has focused on the emerging field of digital medicine, with an emphasis on data recollection and analysis methodology. He co-founded ...

Upon completion of this program, you will receive a digital certificate from Harvard Medical School Executive Education.
Note: The certificate details (name and dates) are placeholders. The final certificate will reflect the actual participant name, cohort dates, and date of issue.
Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Program Advisors or call us at +1 315 284 5718 (US) / +44 204 538 5575 (UK) / +65 3129 7741 (SG)
The program will observe a scheduled holiday break from December 24, 2025 through January 1, 2026.
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