Innovation with AI in Health Care
“This course really provided me a strong foundation of understanding of AI technology and possibilities. I feel like I now have a base of knowledge to improve my practice and help our clients as they grapple with embracing this new technology.”—Rachel Snyder Good, Epstein Becker Green
About the Program
Innovation with AI in Health Care will help leaders of health care organizations develop the skills needed to realize the value of artificial intelligence in health care and advance their careers through demonstrating leadership in digital transformation of health care. It also brings together a diverse community of leaders from the technical, clinical, and business worlds.
Program Fees
- Standard Price $2,600.00
Program Overview
The field of artificial intelligence has now begun to mature in many industries. Health care, however, still struggles to unlock the gains that these powerful technologies can provide. At the same time, health systems worldwide are struggling with aging populations, rising expectations, and ballooning costs. Innovation with AI in Health Care will give you a map to deal with these issues and transform your organization into an innovative, 21st century institution.
A barrier to the adoption of AI in health care is a lack of awareness amongst health care leaders. Many do not understand both the technical concepts of AI and the art of implementing these technologies successfully and at scale. The result is that the potential of AI to deliver value to patients, clinicians, and health care organizations is not realized, and precious resources are wasted in unsuccessful implementations. This course will teach the foundations of applied artificial intelligence from a business perspective and help provide key intuition for decision makers to lessen those missteps.
Innovation with AI in Health Care will help leaders of health care organizations develop the skills needed to realize the value of AI in health care and advance their careers through demonstrating leadership in digital transformation of health care. It also brings together a diverse community of leaders from the technical, clinical, and business worlds. This collective of the world’s largest technology and health care organizations will share their experiences—both positive and negative—of developing and implementing AI solutions in health care.
Upcoming Program Details
- Improve understanding about the fundamental concepts of AI
- Appreciate the significance of some of the advances that have taken place in AI
- Develop a more informed view on managing AI projects
- Have a more nuanced view of bias, fairness, and ethics in modern AI
- Anticipate the upcoming developments in AI with appropriate timelines
- Accurately assess the current state of the technology for each of the major subfields of AI
- Understand the main components of the health care industry (payer, provider, pharma) and be able to think through the role of AI in each of these
All Times are Eastern Time (ET).
| Tuesday, May 6, 2025 | ||
|---|---|---|
| 8:45–9:00 am | Remote Learning Technology Session | |
| 9:00–10:00 am | Panch | Intro to AI |
| 10:00–10:15 am | Break | |
| 10:15–11:15 am | Natarajan | AI in Healthcare |
| 11:15–11:30 am | Break | |
| 11:30 am–12:30 pm | Mauro | AI Lab – Building an AI Application |
| 12:30–1:00 pm | Q&A | Wednesday, May 7, 2025 |
| 9:00–10:00 am | Bajwa | 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 | Mauro | AI Lab – Building an AI Application 2 |
| 12:30–1:00 pm | Q&A | Thursday, May 8, 2025 |
| 9:00–10:00 am | Agrawal | Healthcare Entrepreneurship in the era of AI |
| 10:00–10:15 am | Break | |
| 10:15–11:15 am | Atun | 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 | Friday, May 9, 2025 |
| 9:00–10:00 am | Engineering Biology | |
| 10:00–10:15 am | Break | |
| 10:15–11:15 am | Mattie | Building AI teams |
| 11:15–11:30 am | Break | |
| 11:30 am–12:30 pm | Brownstein | Applying Generative AI in Healthcare Organizations |
| 12:30–1:00 pm | Panch | Wrap |
This agenda is subject to change.
Current faculty, subject to change
Omar Osama Abudayyeh
Assistant Professor
Harvard Medical School
Monica Agrawal
Assistant Professor
Duke University
Rifat Atun
Professor of Global Health Systems
Harvard T.H. Chan School of Public Health
Junaid Bajwa
Senior Partner
Flagship Pioneering
John Brownstein
Chief Innovation Officer
Adebona Account
Professor of Pediatrics
Harvard Medical School
Ankur Chugh
Medical Director & Associate Division Chief of Pediatric Gastroenterology, ACMIO of AI
Pediatrics
Children's Hospital of Wisconsin
Jonathan Samuel Gootenberg
Assistant Professor
Harvard Medical School
Lindsay Jubelt
Chief Clinical Officer
Optum
Heather Mattie
Lecturer on Biostatistics, Co-Director, Health Data Science Master’s Program, Director of EDIB Programs
Department of Biostatistics
Harvard T.H. Chan School of Public Health
Gianluca Mauro
CEO
AI Academy
Vivek Natarajan
Research Scientist
Google
Trishan Panch
Instructor
Harvard T.H. Chan School of Public Health
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 health care delivery, health care 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
Credits & Logistics
Harvard T.H. Chan School of Public Health will grant 1.2 Continuing Education Units (CEUs) for this program, equivalent to 12 contact hours of education. Participants can apply these contact hours toward other professional education accrediting organizations.
All credits subject to final agenda.
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.
