MGB Foundations of AI in Healthcare 2026

This is a virtual course.

The Foundations of AI in Healthcare course is a five-session continuing medical education (CME) program designed to equip providers, nurses, and staff with a foundational understanding of artificial intelligence and its safe, effective, and ethical use across clinical, administrative, and research settings. Participants will gain essential knowledge, practical skills, and strategies for integrating AI tools into workflows while maintaining clinical oversight, patient trust, and compliance with institutional and regulatory standards.

Target Audience

This activity is intended for healthcare providers (clinicians, nurses, APPs), researchers, and staff across Mass General Brigham. 

Learning Objectives

Upon completion of this activity, participants will be able to:

  1. Describe core AI concepts and terminology relevant to healthcare
  2. Identify approved non-clinical and clinical AI platforms available for enterprise use
  3. Describe real world AI applications in Epic, including ambient documentation
  4. Discuss how AI supports collaborative research and innovation across healthcare professions
  5. Apply organizational guidelines for secure, private, and responsible AI use

Additional Information

Provided by: 

Course summary
Course opens: 
01/14/2026
Course expires: 
07/16/2026
Cost:
$0.00
February 24, 2026
1 - 2 PM ET
Session 1: Introduction to AI & large Language Models (LLM)
Esther Kim, ScD & David Bates, MD
March 17, 2026
1 - 2 PM ET
Session 2: Responsible Use, Governance, Security & Equity
Simone Pringle, Melissa Fitzgerald & Rob Martin
April 21, 2026
1 - 2 PM ET
Session 3: Non-Clinical AI Tools & Operational Applications
Chen Cao, Mike Corbett, Marianne Aiello & Lin Shen, MD, MBI
May 13, 2026
1 - 2 PM ET
Session 4: Clinical Applications in Epic
Rebecca Mishuris, MD, MPH, MS, Elaine Goodman, MD, Bernardo Bizzo, MD, Amanda Centi, PhD & Margaret Vasquez
June 16, 2026
1 - 2 PM ET
Session 5: AI for Researchers
Faisal Mahmood, PhD, Jane Murray & Danielle Bitterman, MD

 

Esther Kim, ScD - Course Director
Head of Emerging Technologies, Digital - Mass General Brigham

Marianne Aiello
Senior Project Specialist, Workplace Productivity, Digital - Mass General Brigham

David Bates, MD
Director, Center of AI and Biomedical Informatics for the Learning Healthcare System (CAIBILS), Mass General Brigham
Professor, Medicine, Harvard Medical School
Professor, Health Policy and Management, Harvard T. H. Chan School of Public Health

Danielle Bitterman, MD
Clinical Lead for Data Science/AI, Digital - Mass General Brigham
Principal Investigator, Brigham & Women's Hospital
Assistant Professor of Radiation Oncology, Harvard Medical School

Bernardo Bizzo, MD
Senior Director, MGB AI Mass General Brigham
Assistant Professor of Radiology, Harvard Medical School

Chen Cao
Technology Strategist Principal, Emerging Technologies - Digital, Mass General Brigham 

Amanda Centi, PhD
Senior Manager, Emerging Technologies - Mass General Brigham

Mike Corbett
Senior Director, Digital Solutions Delivery, Digital - Mass General Brigham

Melissa Fitzgerald
Chief Privacy Officer, Mass General Brigham

Elaine Goodman, MD
Associate CMIO, Digital - Mass General Brigham
Internist, Department of Medicine - Massachusetts General Hospital
Instructor of Medicine, Harvard Medical School

Faisal Mahmood, PhD
Associate Professor of Pathology, Harvard Medical School

Rob Martin
Senior Counsel, Office of General Counsel - Mass General Brigham

Jane Murray
Vice President, Digital Research Operations, Digital - Mass General Brigham

Simone Pringle
Senior Security Architect, Information Security, Digital - Mass General Brigham

Lin Shen, MD, MBI
Associate CMIO, Digital Mass General Brigham
Attending Physician, Department of Gastroenterology - Brigham & Women's Hospital
Assistant Professor of Medicine, Harvard Medical School

Margaret Vasquez
PeC Program Director, Digital Epic Operations and Delivery, Mass General Brigham 

In support of improving patient care, Mass General Brigham is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.

Credit Designation Statements

AMA PRA Category 1 CreditsTM
Mass General Brigham designates this live activity for a maximum of 5 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Nursing
Mass General Brigham designates this activity for 5 ANCC contact hours. Nurses should only claim credit commensurate with the extent of their participation in the activity.

Physician Assistants
Mass General Brigham has been authorized by the American Academy of PAs (AAPA) to award AAPA Category 1 CME credit for activities planned in accordance with AAPA CME Criteria. This activity is designated for 5 AAPA Category 1 CME credits. PAs should only claim credit commensurate with the extent of their participation.

 
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To enroll in multiple sessions, click on the check boxes next to the session title (right-hand column), and then click the blue 'Enroll' button. 

Please note that you will need to answer a pre-registration question to confirm your enrollment in each session. To do this, please follow these steps:

  1. Click on the session title you want to confirm your enrollment for. 
  2. Once redirected, click on the blue 'Get Started' button under the 'Get Started' tab. 
  3. Complete the required pre-registration question, and then click 'Save'