Future-Proofing Healthcare With AI: Why the Harvard AI in Healthcare Program Is Built for Executives
- Inside the Harvard AI in Health Care Program Curriculum
- Real World Case Studies: Learning From Global Leaders
- Expert Faculty at the Intersection of AI and Public Health
- Harvard AI in Health Care Program at a Glance
- Why the Harvard AI in Health Care Program Is Relevant for Decision-Makers
- Harvard AI in Health Care Program: Future-Proof Your Leadership in Healthcare
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Key takeaway: The Harvard AI in Health Care program helps leaders integrate AI, improve patient outcomes, and prepare their organizations for an AI-driven future. |
Artificial intelligence (AI) is actively reshaping how healthcare professionals diagnose, monitor, and improve patient outcomes, from wearable devices that capture real-time health data to prediction models. While the potential of AI technologies is undeniable, most healthcare organizations still struggle to move from experimentation to real-world adoption. This is where the Harvard AI in Health Care program comes in.
Designed by Harvard Medical School Executive Education, the program equips healthcare executives, clinicians, consultants, and policymakers with the frameworks and strategies to integrate AI and drive measurable impact in an AI-driven healthcare future.
Inside the Harvard AI in Health Care Program Curriculum
The AI in Health Care program is built for busy professionals who want quick, industry-ready upskilling in AI concepts, machine learning, and AI implementation. With a mix of live sessions, case studies, and scenario-based projects, participants develop a deep understanding of implementing AI and integrating AI tools directly into their organizations.
Key curriculum highlights include:
History and foundations of AI: Build fluency in AI concepts, including supervised and self-supervised learning, generative AI for medical applications, and the evolution of large language models.
The AI development pipeline: Learn the stages of training, validating, and deploying AI healthcare solutions, focusing on defining problems as machine learning challenges.
From lab to real world: Explore the cultural, economic, and public health factors that affect AI implementation—critical for executives planning system-wide rollouts.
Transparency and predication models: Understand evaluation measures, reproducibility, and the ethical use of AI technologies in patient care.
Bias and ethical implications: Develop strategies to identify and mitigate bias in healthcare data, ensuring equitable outcomes.
AI for startups: Learn how to transform AI-first healthcare ideas into compelling pitches with sustainable growth strategies.
AI for wearable data: Explore how wearable technology and person-generated health data can be leveraged to improve patient monitoring, disease detection, and predictive analytics.
“The best part of the AI in Health Care program was the perfect balance between technical depth and clinical relevance. It wasn’t just about learning what AI can do but about understanding how to critically assess, apply, and integrate AI tools in real-world healthcare settings.”
—Irina Poleva, managing director
Real World Case Studies: Learning From Global Leaders
The Harvard AI in Health Care program goes beyond theory by immersing learners in case studies from pioneering organizations. These real-world examples give participants a deep understanding of improving patient care with AI implementation while highlighting opportunities and risks.
Google Health: human-centered design in AI technologies for healthcare
EchoNet-Dynamic: automating cardiac assessment through machine learning
Evidation: using wearable devices and AI tools to track behavioral patterns tied to cognitive impairment
Generate: Biomedicines: applying generative artificial intelligence to create novel therapeutic proteins
Sage Bionetworks: benchmarking AI models and advancing community-verified methods
“The AI in Health Care program strongly focuses on real-world application of AI in healthcare, particularly through the capstone project and ethical case-based dilemmas. These elements not only deepened my understanding of how AI can solve clinical and operational challenges but also helped me develop a well-rounded, implementation-focused mindset.”
—Abin Santha, head of group receivables, NMC Healthcare
Expert Faculty at the Intersection of AI and Public Health
The Harvard AI in Health Care program is guided by Harvard Medical School faculty and global healthcare leaders who are advancing machine learning and AI tools for medicine and public health. Their insights ensure participants understand how to apply AI responsibly at scale in health care systems.
- Andrew Beam, PhD (Harvard Medical School): expert in machine learning and artificial intelligence for biology and medicine
- Lily Peng, MD, PhD (director, Health & AI at Apple): innovator in AI tools for diabetic eye disease, cancer detection, and cardiovascular risk prediction
- Karandeep Singh, MD, MMSc (UC San Diego Health): chief health AI officer, specializing in prediction models and digital health innovation
- Marzyeh Ghassemi, PhD (MIT): researcher on ethics, transparency, and health outcomes in AI
“We heard directly from AI leaders in the healthcare space and from other learners around the world. The live sessions were valuable for listening to the latest concepts in AI and the topics students were bringing to discuss.”
—Stephanie Detrinidad, chief of staff, Dr. Bill
Harvard AI in Health Care Program at a Glance
| Duration | Eight weeks |
| Format | Online + live sessions |
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Why the Harvard AI in Health Care Program Is Relevant for Decision-Makers
The Harvard AI in Health Care program provides clarity and direction for executives in the consideration stage. It addresses critical questions such as:
- What AI opportunities are most relevant to my organization today?
- How can prediction models and wearables be deployed safely and equitably to improve patient outcomes?
- What frameworks will help me implement AI and move from pilots to system-wide adoption?
Participants leave with the ability to guide AI implementation responsibly, integrate AI into workflows, and position their organizations at the forefront of digital health innovation. The AI in Healthcare program’s online format, live sessions, case studies, and the Harvard Medical School certificate of completion make it a high-ROI investment for leaders ready to operationalize artificial intelligence strategies.
“The Harvard AI in Health Care program was significant because it connected real-world clinical challenges—especially those I face daily in nephrology—with practical applications of AI. Designing and building a solution that integrates large language models and predictive models into the clinical workflow allowed me to bridge my medical expertise with cutting-edge technology.”
—Jean-Michel Tivollier, managing director, U2NC
Harvard AI in Health Care Program: Future-Proof Your Leadership in Healthcare
The next wave of healthcare innovation will be driven by leaders who can harness AI tools, wearable data, and prediction models to improve patient care and public health. The Harvard AI in Health Care program provides the frameworks, skills, and real-world exposure needed to lead this transformation—in just eight weeks.
Explore the Harvard Medical School AI in Health Care program today and position yourself at the forefront of healthcare’s AI-driven future.
