Innovation with AI in Health Care
“I would strongly recommend the Innovation with AI in Health Care program at HSPH 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
Notice: Registration forms will be unavailable Sunday, Nov. 9 from 1:00-8:00am ET. We apologize for the inconvenience. Please contact enrollment@hsph.harvard.edu with questions.
About the Program
This program equips health care leaders to capture AI’s value and lead digital transformation, while connecting a diverse cohort across technical, clinical, and business roles.
Program Fees
- Standard Price $2,600.00
Program Overview
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.
This course builds on Responsible AI for Health Care: Concepts and Applications. While each program can be taken independently, completing three healthcare AI courses in our portfolio earns the AI in Health Care Certificate of Specialization.
- New to AI? Start with Responsible AI for Health Care: Concepts and Applications for a strong foundation.
- Ready for advanced material? Continue with Innovation with AI in Health Care or Implementing Health Care AI in Clinical Practice.
For those who have taken earlier versions of Applied AI in Health Care, this updated program reflects the latest developments in AI for healthcare, with fresh group projects and collaborative learning opportunities. For any questions about the programs or Certificate of Specialization, please email enrollment@hsph.harvard.edu.
See Our Faculty in Action
In the video below, you can hear directly from course faculty on how AI is reshaping healthcare operations and patient care. This discussion offers a preview of the key concepts and case studies you’ll explore more deeply in this program.
Upcoming Program Details
- 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
All Times are Eastern Time (ET).
| Monday, October 19, 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, October 20, 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 | Wednesday, October 21, 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 | Thursday, October 22, 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.
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
In the video below, you can hear directly from course faculty on how AI is reshaping healthcare operations and patient care. This discussion offers a preview of the key concepts and case studies you’ll explore more deeply in this program.
Credits & Logistics
All participants will receive a Certificate of Participation upon completion of the program.
This program also contributes to the AI in Health Care Certificate of Specialization. Click here for more information.
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.