Innovation with AI in Health Care
Program Overview
Date: December 7–15, 2026
Modality: Online Live
Certificate of Specialization eligibility:
Lead the transformation to AI-enabled healthcare
Artificial intelligence is maturing rapidly across industries, yet healthcare continues to face challenges in realizing its full potential. At the same time, health systems around the world are grappling with aging populations, rising expectations, and escalating costs. Innovation with AI in Health Care offers a strategic roadmap to help organizations address these pressures and evolve into innovative, AI-enabled, 21st-century institutions.
A key barrier to AI adoption in healthcare is a lack of understanding among healthcare leaders. Many are unfamiliar with both the technical foundations of AI and the practical strategies required for successful, scalable implementation. As a result, the potential of AI to deliver value to patients, clinicians, and organizations often goes unrealized—leading to wasted resources and missed opportunities. This course addresses that gap by teaching the fundamentals of applied AI from a business perspective, equipping decision-makers with the intuition needed to avoid common pitfalls.
Innovation with AI in Health Care is designed to empower healthcare executives to strategically integrate and utilize AI tools to enhance their job functions. Participants will also learn to critically assess current AI technologies and anticipate future developments relevant to the healthcare industry, gaining actionable insights into the role of AI across the payer, provider, and pharmaceutical sectors. In addition, participants will be introduced to “vibe coding” as a rapid prototyping methodology for healthcare product development, complete with practical demonstrations from leading experts.
Program Details
By the end of this program, you will:
- Empower healthcare executives to strategically integrate and utilize AI tools to enhance their job functions
- Introduce “vibe coding” as a rapid prototyping methodology for healthcare product development, complete with practical demonstrations
- Develop a nuanced understanding of how to manage AI projects within a healthcare context, addressing practical challenges and ethical considerations
- Enable participants to critically assess current AI technologies and anticipate future developments relevant to the healthcare industry
- Provide actionable insights into the role of AI across the payer, provider, and pharmaceutical sectors of the healthcare industry
- Discuss how large language models can, and have, been applied in healthcare
- Understand the process of forming and managing data science teams in healthcare
- Explain the workflow of using CNNs for image classification
- Discuss how AI can be used to solve clinical problems
- Describe the process of successfully implementing AI projects in large healthcare organizations
- Identify future challenges and opportunities in generative AI
- Reinforce principles of AI learned in the first course in our series, Responsible AI for Health Care: Concepts and Applications, or other related programs
This online program is designed for senior managers and executives who are responsible for developing and implementing AI strategy in their organizations and are looking to understand AI and both its current state and future.
Participants will come from a range of organizational functions including healthcare delivery, healthcare technology, primary care systems, payers, and governments. Some titles represented in the program will include:
- Chief Executive Officer
- Chief Information Officer
- Chief Innovation Officer
- Chief Medical Informatics Officer
- Chief Medical Officer
- Clinician
- Data Scientist
- Director
- Engineer
- Innovation Specialist
- Finance Professional
- Product Manager
- Project Manager
- Venture Capital Investor
From Our Alumni
“I would strongly recommend the Innovation with AI in Health Care program to colleagues. The program’s emphasis on real-world examples ensured that I could directly apply the concepts learned to my work, driving innovation and delivering tangible results.”
—Christina Pamela Kreutzmann, Regional Ecosystem Partner, Roche
Program Logistics
All Times are Eastern Time (ET).
| Monday, December 7, 2026 | ||
|---|---|---|
| 8:45–9:00 am | Remote Learning Technology Session | |
| 9:00–10:00 am | Intro to AI | |
| 10:00–10:15 am | Break | |
| 10:15–11:15 am | AI in Healthcare | |
| 11:15–11:30 am | Break | |
| 11:30 am–12:30 pm | AI Lab – Building an AI Application | |
| 12:30–1:00 pm | Q&A | Tuesday, December 8, 2026 |
| 9:00–10:00 am | AI and Life Sciences | |
| 10:00–10:15 am | Break | |
| 10:15–11:15 am | AI strategy for Healthcare Organizations | |
| 11:15–11:30 am | Break | |
| 11:30 am–12:30 pm | AI Lab – Building an AI Application 2 | |
| 12:30–1:00 pm | Q&A | Monday, December 14, 2026 |
| 9:00–10:00 am | Healthcare Entrepreneurship in the era of AI | |
| 10:00–10:15 am | Break | |
| 10:15–11:15 am | AI and Health Systems | |
| 11:15–11:30 am | Break | |
| 11:30 am–12:30 pm | Economic Impact of AI in Healthcare | |
| 12:30–1:00 pm | Q&A | Tuesday, December 15, 2026 |
| 9:00–10:00 am | Engineering Biology | |
| 10:00–10:15 am | Break | |
| 10:15–11:15 am | Building AI teams | |
| 11:15–11:30 am | Break | |
| 11:30 am–12:30 pm | Applying Generative AI in Healthcare Organizations | |
| 12:30–1:00 pm | Wrap |
This agenda is subject to change.
Harvard T.H. Chan School of Public Health will grant 1.2 Continuing Education Units (CEUs) for this program, equivalent to 1.2 contact hours of education. Participants can apply these contact hours toward other professional education accrediting organizations.
All credits subject to final agenda.
This course also contributes to the AI in Health Care Certificate of Specialization, among others. While each program can be taken independently, completing three healthcare AI courses in our portfolio earns the Certificate of Specialization.
See Our Faculty in Action
Hear from Program Directors Dr. Panch and Dr. Mattie on how AI is reshaping healthcare operations and patient care—a preview of what you’ll learn in this course.
Certificate of Specialization
Earn an AI in Health Care Certificate of Specialization
Take this program to earn a Certificate of Completion, or take 3 to earn a Certificate of Specialization. Learn more here.
Frequently Asked Questions
You do not need a technical background, but a foundational understanding of AI concepts or prior exposure to applied AI is recommended for Innovation with AI in Health Care.
If you are newer to the field, consider enrolling in Responsible AI for Health Care: Concepts and Applications first, or take time for self-study or practical experimentation before enrolling. This preparation will help you engage more deeply with the advanced material in this course.
While many AI courses focus on primarily the technical aspects of healthcare AI, this program also includes sessions on leadership, strategy, and innovation. Participants learn how to identify AI opportunities, manage implementation challenges, and create measurable value in complex health systems.
You’ll also gain exposure to vibe coding—a practical, hands-on framework for rapid healthcare product prototyping taught by leading experts in the field.
Each course within the AI for Health Care Certificate of Specialization series covers a valuable and fast-developing area.
Responsible AI for Health Care: Concepts and Applications
Focus: Governance, ethics, regulation, risk, and oversight
Audience posture: “How do we deploy AI safely and responsibly?”
Primary output: Policies, frameworks, guardrails
Implementing AI into Clinical Practice
Focus: Operational rollout inside existing institutions
Audience posture: “How do we adopt AI inside a hospital or system?”
Primary output: Implementation playbooks, change management strategies
Innovation with AI in Health Care
Focus: Exposure to frontier innovation and leading organizations
Audience posture: “What is possible, and who is doing it?”
Primary output: Insight, inspiration, strategic awareness
Yes, we offer customized programs for organizations that can be adapted from open-enrollment courses like Innovation with AI in Health Care or designed as a new, bespoke program.
- Teams of 4–20: We can offer a discounted cohort of an existing open enrollment program to accommodate your group.
- Teams of 21+ : We recommend a fully customized design—either a modified version of an existing course or a new program built around your goals.
We’d be happy to have an informal conversation about how we can help you to customize your organizational training needs. Please contact Priya Ponnappan for more information at Priya_ponnappan@hsph.harvard.edu