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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

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Master AI innovation for healthcare: apply artificial intelligence in health care, explore machine learning healthcare applications, and empower digital leadership. — Harness artificial intelligence healthcare: learn AI in health care fundamentals and machine learning healthcare strategies for transformative digital impact.

Upcoming Program Information

View detailed information for the upcoming programs.

Innovation with AI in Health Care

October 19 – 27, 2026

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.

Online

Artificial Intelligence and Technology

AI in Health Care Certificate of Specialization

Program Fees
- Standard Price $2,600.00

View Agenda & Faculty for the October 2026 Program

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.

Certificate of Specialization

Advance your Career with a Certificate of Specialization

This program contributes to the AI in Health Care Certificate of Specialization. Click here for more information.

Objectives & Highlights

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

Frequently Asked Questions

Innovation with AI in Health Care is a live online program from Harvard T.H. Chan School of Public Health Executive and Continuing Education that helps healthcare leaders strategically capture AI’s value and lead digital transformation.

Over four live sessions, participants explore how AI can improve operations, patient outcomes, and innovation across payer, provider, and pharmaceutical settings. The course blends strategic frameworks, real-world examples, and rapid prototyping exercises—helping leaders turn AI potential into organizational impact.

Innovation with AI in Health Care is designed for senior managers, clinicians, and executives who are developing or implementing AI strategies and want to understand both the current landscape and the future of artificial intelligence in healthcare.

Participants come from diverse sectors, including healthcare delivery, healthcare technology, primary care systems, payers, and government agencies.

You will learn applied AI from a business perspective. By the end of the program, you will be able to:

Strategically integrate and utilize AI tools to enhance job functions

Understand and deploy “vibe coding” for rapid prototyping

Develop a nuanced understanding of how to manage AI projects within a healthcare context

Critically assess current AI technologies and anticipate future developments relevant to healthcare

Provide actionable insights into the role of AI across the payer, provider, and pharmaceutical sectors

The full agenda is available here. .

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.

While real-world experience with AI projects is highly valuable, it often doesn’t provide the structured frameworks, strategic perspective, and cross-sector insights needed to lead innovation at scale.

Harvard’s Innovation with AI in Health Care program offers a guided, high-impact learning experience that helps leaders avoid common pitfalls and accelerate digital transformation. You’ll engage directly with faculty and peers who are implementing AI across hospitals, payers, and biotech organizations—gaining lessons you won’t find in isolated workplace projects.

Participants leave with a strategic toolkit, actionable methods for assessing and managing AI initiatives, and the confidence to shape their organization’s innovation roadmap. The program is a smart investment if you want to move from experimentation to executive-level AI leadership.

The program features Harvard faculty and healthcare AI innovators who bring real-world experience in data science, clinical innovation, and technology leadership.

The course is designed and directed by Trishan Panch (CEO of LUNRStudio; Executive Chair and Chief Strategy Officer of Lumin Health, Co-founder of Wellframe) and Heather Mattie (Lecturer on Biostatistics, Co-Director of the Health Data Science Master’s Program, and Director of EDIB Programs at the Harvard Chan School). They will be joined by several prominent healthcare leaders as well as technical AI experts.

This course is part of the Harvard T. H. Chan School of Public Health’s Executive Education AI in Health Care Certificate of Specialization. Completing this and two other AI courses (Responsible AI for Health Care: Concepts and Applications and Implementing Health Care AI in Clinical Practice) earns the certificate, showing advanced skills in healthcare AI leadership.

All individual Harvard Chan Executive Education programs also award a Certificate of Participation upon completion.

Note: If you have previously completed a healthcare AI course at Harvard Chan School, or enroll in Responsible AI for Healthcare in February 2026, you will be eligible to earn the Certificate of Specialization with 2 courses, per the prior criteria.

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