Transforming Healthcare with AI
Transforming Healthcare with AI
Course Dates | Format | Location | Duration | Time Commitment | Price |
---|---|---|---|---|---|
Mar 24-25, 2025 | In Person | Cambridge, MA | 2 days | 7 hours/day | $5,500 |
Oct 23-24, 2025 | In Person | Cambridge, MA | 2 days | 7 hours/day | $5,500 |
Tracks
Digital Business
Certificate Credits
2.0 EEUs
Topics
- Operations
- Strategy & Innovation
Course Highlights:
- A 2 day, in-person course that introduces the transformative potential of artificial intelligence technologies and techniques in healthcare
- Results in foundational AI knowledge and actionable insights
- Counts toward the Executive Certificate in Digital Business
- Confers a certificate of course completion from MIT Sloan Executive Education
Healthcare industries constantly strive to improve patient care, and advancements in technology are pivotal to achieving this goal. Developments in artificial intelligence (AI), machine learning (ML), deep learning (DL), and generative AI (GenAI) have delivered an increasingly effective toolkit for making accurate predictions, enhancing diagnosis, personalizing treatments, and understanding disease progression.
This intensive two-day program, offered by the MIT Sloan School of Management in collaboration with the MIT Jameel Clinic, will introduce you to the transformative potential of artificial intelligence technologies and techniques in healthcare. The course covers foundational AI knowledge, explores practical applications across patient care, diagnostics, and hospital management, and considers key ethical, regulatory, and operational challenges in the healthcare sector. You will gain actionable insights into deploying AI today to improve healthcare outcomes, enhance efficiency, and manage risks effectively. You will also come together with peers to share insights, collaborate on challenges, and develop actionable strategies for leveraging AI in your organizations.
Guest Speaker
Lecia Sequist, MD, MPH
Medical Oncologist
Program Director, Cancer Early Detection and Diagnostics Clinic
Landry Family Professor of Medicine at Harvard Medical School
Dr. Sequist is originally from Michigan and studied chemistry at Cornell University. She received her MD from Harvard Medical School and trained in internal medicine at the Brigham and Women’s Hospital and in hematology/oncology at the Dana-Farber Cancer Institute, where she also received an MPH from the Harvard School of Public Health. She joined the faculty at the Massachusetts General Hospital Cancer Center in 2005 and has an active clinical and translational research career, as well as a busy practice caring for patients with lung cancer. She is currently the Landry Family Professor of Medicine at Harvard Medical School and the Program Director of the Cancer Early Detection and Diagnostics Clinic at Mass General Cancer Center. She has held grants from the NIH, the DOD, and many private foundations. Dr. Sequist’s research focuses on studying targeted therapeutics for lung cancer and bringing new non-invasive tests like circulating tumor cells and circulating tumor DNA to treat and detect lung cancer. In her free time, she likes to spend time with her husband, two sons and her dog, and is a hockey and dance mom.
Applying to the Course
We accept enrollments until the offering reaches capacity at which point we will maintain a waitlist. This course could fill up several weeks in advance, so we advise that you enroll as early as possible to secure your seat.
You can begin the application process by using the red Enroll Now bar at the bottom of the screen.
Health and Safety
See our on campus healthy and safety policies.
Have Questions?
Contact us if you would like to speak with a program director or visit our Frequently Asked Questions page for answers to common questions about our courses.
By the end of this course, participants will have a solid foundation in AI and machine learning principles, practical knowledge of AI applications in healthcare, and the ability to recognize ethical and regulatory challenges. They will develop confidence in leveraging AI to improve healthcare outcomes, optimize processes, and develop strategic AI initiatives within their organizations.
As a result of this program, participants should walk away with:
- A solid foundational understanding of AI technologies, including ML, DL and GenAI, as well as key elements of data analytics
- Insights into specific healthcare applications for AI, such as diagnostics, patient monitoring, and hospital management
- Practical approaches to address interpretability, ethical challenges, and regulatory concerns
- A toolkit and mindset to develop and integrate a sustainable AI strategy that aligns with healthcare operational goals
Sample Schedule—Subject to Change
This course is ideal for:
- Healthcare Executives looking to integrate AI into their organizations
- Clinical leaders, physicians and nurse leaders interested in improving patient care through technology
- IT Professionals and managers focused on implementing AI solutions
- Government officials and health policy advisors aiming to understand AI’s impact on healthcare regulations
- Consultants and advisors specializing in healthcare technology and strategy
- Business professionals in healthcare and associated industries looking to leverage AI for strategic and operational improvements
Course Dates | Format | Location | Duration | Time Commitment | Price |
---|---|---|---|---|---|
Mar 24-25, 2025 | In Person | Cambridge, MA | 2 days | 7 hours/day | $5,500 |
Oct 23-24, 2025 | In Person | Cambridge, MA | 2 days | 7 hours/day | $5,500 |
Tracks
Digital Business
Certificate Credits
2.0 EEUs
Topics
- Operations
- Strategy & Innovation