AI Fundamentals for Healthcare Professionals

 This is a live virtual course

AI Fundamentals for Healthcare Professionals is a comprehensive virtual educational program designed to equip clinicians, administrators, and healthcare staff with the knowledge and practical insight needed to understand and apply artificial intelligence responsibly in healthcare settings. Through an accessible, real‑world–focused curriculum, participants will build a strong foundation in AI concepts and healthcare data, explore clinical and operational use cases such as decision support, imaging, predictive analytics, and workflow optimization, and examine critical issues of ethics, bias, performance, and trust. 

Target audience

This activity is intended for physicians, nurses, quality & safety professionals, healthcare administrators & pharmacists.

Learning objectives

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

1. Develop a shared AI vocabulary and conceptual foundation
2. Describe the data that powers AI systems and identify their limitations
3. Relate core AI concepts to real‑world clinical and operational workflows
4. Describe the value of AI within and beyond direct clinical care
5. Critically assess AI tools for appropriateness, performance, and risk
6. Apply principles that ensure safe and equitable use of AI
7. Integrate appropriate trust in, and adoption of, AI-enabled tools
8. Identify rapidly emerging AI tools that clinicians are already using
9. Measure the impact and value of AI tools in healthcare settings
10. Integrate AI use with standards of clinical professionalism

Registration instructions

Discounts:
Mass General Brigham employees receive a discounted course fee of $2,000. Please log in with your employee credentials to have this applied automatically.

Tuition Reimbursement for Mass General Brigham Employees:

Mass General Brigham employees may be eligible for tuition reimbursement for CME credits. Visit the links below to learn more on how to access this benefit:

• Human Resources General Knowledge – Tuition Reimbursement
• MGB Tuition Reimbursement Portal

Cancellation Policy:
Registrations cancelled on or before May 22, 2026 will be refunded, less a $455 administrative fee. Registrations cancelled after May 22, 2026 will not be refunded.

Contact Maxine Harney if you require assistance in cancelling your online registration.

Please note:

Registration fee includes:

• All 13 weekly virtual, live sessions
• Reading materials & resources
• Access to session recordings
• 26.00 Continuing Education (CE) Credits

Additional information

Center for AI and Biomedical Informatics in a Learning Health System (CAIBILS) & Mass General Brigham

Faculty credentials

Course Co-Directors

David W. Bates, MD, MSc
Director, Center for AI and Biomedical Informatics in a Learning Health System (CAIBILS), Mass General Brigham
Professor of Medicine, Harvard Medical School

Hossein Estiri, PhD
Investigator, Massachusetts General Hospital
Associate Professor of Medicine, Harvard Medical School

Li Zhou, MD, PhD
Director, MTERMS Lab, Mass General Brigham
Lead Investigator, Brigham and Women’s Hospital
Professor of Medicine, Harvard Medical School

Faculty

David W. Bates, MD, MSc
Director, Center for AI and Biomedical Informatics in a Learning Health System (CAIBILS), Mass General Brigham
Professor of Medicine, Harvard Medical School

Xinsong Du, PhD
Postdoctoral Research Fellow, Brigham and Women’s Hospital & Harvard Medical School

Jonathan Einbinder, MD, MPH
Vice President of Advanced Data Analytics and Coding, CRICO – Risk Management Foundation
Professor of Medicine, Harvard Medical School
Attending Physician, Brigham and Women’s Hospital

Hossein Estiri, PhD
Investigator, Massachusetts General Hospital
Associate Professor of Medicine, Harvard Medical School

Nina Jain, MD, MBA, MSc
Senior Medical Director, Population Health, Mass General Brigham

Ramin Khorasani, MD
Radiology Quality Vice Chair and Assistant Chief Medical Officer, Mass General Brigham
Philip H. Cook Professor of Radiology, Harvard Medical School
Director, Center for Evidence Based Imaging, Brigham and Women’s Hospital

Joe Kvedar, MD
Professor of Dermatology, Harvard Medical School
Editor-in-Chief, npj Digital Medicine

Ronilda Lacson, MD
Research Scientist & Associate Director, Center for Evidence-Based Imaging, Brigham and Women’s Hospital
Associate Professor, Harvard Medical School

Anna C. F. Lewis, PhD
Member of the faculty, Department of General Internal Medicine, Mass General Brigham, Harvard Medical School
Affiliate faculty, Broad Institute of MIT and Harvard

Rebecca Mishuris, MD, MPH, MS
VP and Chief Health Information Officer, Mass General Brigham

Shawn Murphy, MD, PhD
Chief Research Information Officer, School of Medicine, University of Washington 
Director, Institute of Translational Health Sciences, University of Washington
Professor of Biomedical Informatics and Medical Education, Neurology, University of Washington

Kourosh Ravvaz, MD, PhD
Senior Data Scientist, Mass General Brigham Digital
Lecturer, Division of General Internal Medicine, Department of Medicine, Harvard Medical School

Jorgé A. Rodriguez, MD
Clinician-Investigator, Brigham and Women’s Hospital
Assistant Professor, Harvard Medical School
Assistant Chief Medical Informatics Officer of Ambulatory, Mass General Brigham

Lipika Samal, MD, MPH
Medical Director for Research, Brigham and Women’s Hospital
Associate Professor, Harvard Medical School
Lead for Research, Epic, and Clinical Systems, Digital, Mass General Brigham

Liqin Wang, PhD
Assistant Professor, Brigham and Women’s Hospital & Harvard Medical School

Li Zhou, MD, PhD
Director, MTERMS Lab, Mass General Brigham
Lead Investigator, Brigham and Women’s Hospital
Professor of Medicine, Harvard Medical School

Accreditation

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 Credits^TM
Mass General Brigham designates this live activity for a maximum of 26.00 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 26.00 ANCC contact hours. Nurses should only claim credit commensurate with the extent of their participation in the activity.

Pharmacy
This activity provides 26.00 contact hours (26.00 CEUs) of continuing education credit. ACPE Universal Activity Number (UAN): JA0007437-0000-26-008-L99-P

Program

Session 6: Bias, Fairness, and Health Equity                            

Goal: Ensure safe and equitable AI use
Key takeaway: AI can amplify inequities if not designed/monitored carefully                   

• Date: July 10, 2026 12:00-2:00PM
• Live virtual 120 minutes (recorded)
• Readings 60 minutes
• Speakers:
  • Jorge Rodriguez, MD
  • Li Zhou, MD, PhD

Session 7A. Generative AI in Healthcare Practice                   

Goal: Equip participants to safely and effectively prompt AI tools
Practice skill: Safe prompting and verification techniques                      

• Date: July 17, 2026 12:00-1:00PM
• Live virtual 120 minutes (recorded)
• Readings 60 minutes
• Speakers:
  • Shawn Murphy, MD

Session 7B. FOCUSED Prompting for Healthcare Professionals                          

Goal: Equip participants to safely and effectively prompt AI tools
Practice skill: Safe prompting and verification techniques                      

• Date: July 17, 2026 1:00-2:00PM
• Live virtual 120 minutes (recorded)
• Readings 60 minutes
• Speakers:
  • Xinsong Du, PhD

Session 8. Explainability, Trust, and Human-AI Interaction    

Goal: Promote appropriate trust and adoption
Key takeaway: When not to use AI 

• Date: July 24, 2026 12:00-2:00PM
• Live virtual 120 minutes (recorded)
• Readings 60 minutes
• Speakers:
  • David Bates, MD, MSc
  • Hossein Estiri, PhD
• Moderator
  • Li Zhou, MD, PhD

Session 9A. Privacy, Security, and Regulatory Landscape       

Goal: Ensure compliance and risk awareness             
Key takeaway: Regulation is evolving—risk management is essential

• Date: July 31, 2026 12:00-1:00PM
• Live virtual 120 minutes (recorded)
• Readings 60 minutes
• Speakers:
  • Jonathan Einbinder, MD

Session 9B. Measuring Impact and Value

Goal: Focus on outcomes, not novelty                                                                                 

• Date: July 31, 2026 1:00-2:00PM
• Live virtual 120 minutes (recorded)
• Readings 60 minutes
• Speakers:
  • Kourosh Ravvaz, PhD

Session 10A. Genetics/Genomics Therapeutics                                                                 

• Date: August 7, 2026 12:00-1:00PM
• Live virtual 120 minutes (recorded)
• Readings 60 minutes
• Speakers:
  • Anna Lewis, MD

Session 10B. Ethical and Professional Responsibility                                                                                      

Goal: Ground AI use in clinical professionalism and prepare professionals for what’s next

• Date: August 7, 2026 1:00-2:00PM
• Live virtual 120 minutes (recorded)
• Readings 60 minutes
• Speakers:
  • Anna Lewis, MD   

Session 11. Implementation and Workflow Integration                                                                                 

Goal: Move from pilot to real-world use
Activity: AI implementation planning exercise

• Date: August 14, 2026 12:00-2:00PM
• Live virtual 120 minutes (recorded)
• Readings 60 minutes
• Speakers:
  • Rebecca Mishuris, MD
  • Ronilda Lacson, MD, PhD 

Session 12A. Virtual Healthcare                                                                           

Goal: Enable clinicians to evaluate and safely integrate AI in virtual care

• Date: August 21, 2026 12:00-1:00PM
• Live virtual 120 minutes (recorded)
• Readings 60 minutes
• Speakers:
  • Joe Kvedar, MD  

Session 12B. Clinical Trials and AI                                                                                       

Goal: Understand how AI enhances clinical trials and patient outcomes

• Date: August 21, 2026 1:00-2:00PM
• Live virtual 120 minutes (recorded)
• Readings 60 minutes
• Speakers:
  • Hossein Estiri, PhD          

Session 13A. Agentic AI                                                                           

Goal: Prepare clinicians to understand, evaluate, and safely apply agentic systems

• Date: August 28, 2026 12:00-1:00PM
• Live virtual 120 minutes (recorded)
• Readings 60 minutes
• Speakers:
  • Li Zhou, MD, PhD

Session 13B. Future Directions and Strategic Readiness                                                                  

Goal: Prepare professionals for what’s next 

• Date: August 28, 2026 1:00-2:00PM
• Live virtual 120 minutes (recorded)
• Readings 60 minutes
• Speakers:
  • Hossein Estiri, PhD           
• Moderator
  • David Bates, MD, MSc