AI Fundamentals for Healthcare Professionals

October 20, 2026 to October 22, 2026

 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. 


MGB Employees: This course is discounted, which applies automatically when you log in with your employee credentials. MGB employees may also be eligible for tuition reimbursement.

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

Additional Information

Provided by: 

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

Course summary
Available credit: 
  • 21.00 ACPE Pharmacy
  • 21.00 AMA PRA Category 1 Credit™
  • 21.00 Nursing Contact Hours
  • 21.00 Participation
Course opens: 
07/22/2026
Course expires: 
11/22/2026
Event starts: 
10/20/2026 - 8:00am EDT
Event ends: 
10/22/2026 - 2:00pm EDT
Cost:
$2,500.00

Speakers to be announced soon

Tuesday, October 20, 2026

8:00amAI Fundamentals for Healthcare Professionals David W. Bates, MD, MSc & Jorgé A. Rodriguez, MD
9:30Break
9:45Common AI Use Cases in Clinical Practice | Ramin Khorasani, MD & Rebecca Mishuris, MD, MPH, MS
11:15Virtual Healthcare | Joe Kvedar, MD
12:00pmLunch Break
1:00Implementation & Workflow Integration Ronilda Lacson, MD & Rebecca Mishuris, MD, MPH, MS
2:30Clinical Trials & AI | Hossein Estiri, PhD
3:15Break
3:30Genetics/Genomics Therapeutics Anna C.F. Lewis, PhD
4:15Ethical & Professional Responsibility Anna C.F. Lewis, PhD
5:00pmDay 1 Adjournment

 

Wednesday, October 21, 2026

8:00amAI in Operations, Quality & Population Health | Chen Cao & Nina Jain, MD, MBA, MSc
9:30Break
9:45Data Foundations in Healthcare Shawn Murphy, MD, PhD & Liqin Wang, PhD
11:15Model Performance, Validation & Evaluation Li Zhou, MD, PhD
12:00pmLunch Break
1:00What Makes a Good Model? Liqin Wang, PhD
1:45Explainability, Trust & Human-AI Interaction | David W. Bates, MD, MSc & Hossein Estiri, PhD
3:15Break
3:30Bias, Fairness & Health Equity Jorgé A. Rodriguez, MD & Li Zhou, MD, PhD
5:00pmDay 2 Adjournment

 

Thursday, October 22, 2026

8:00amPrivacy, Security & Regulatory Landscape | Jonathan Einbinder, MD, MPH
8:45Measuring Impact & Value Kourosh Ravvaz, MD, PhD
9:30Break
9:45Generative AI in Healthcare Practice | Shawn Murphy, MD, PhD
10:45Focused Prompt Engineering for Healthcare Professionals Xinsong Du, PhD
11:30AI in Pathology TBD
12:15pmLunch Break
1:00Agentic AI | Li Zhou, MD, PhD
1:45Future Directions & Strategic Readiness Hossein Estiri, PhD
2:45Closing Remarks David W. Bates, MD, MSc
3:00pmAdjournment

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 to be added as the agenda is finalized. Stay tuned!

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

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

Elaine Goodman, MD, MBA
Associate Chief Clinical Informatics Officer, Mass General Brigham

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

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

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

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 21.00 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 21.00 ANCC contact hours. Nurses should only claim credit commensurate with the extent of their participation in the activity.

Pharmacy
This activity provides 21.00 contact hours (21.00 CEUs) of continuing education credit. ACPE Universal Activity Number (UAN): JA0007437-0000-26-018-L99-P

Available Credit

  • 21.00 ACPE Pharmacy
  • 21.00 AMA PRA Category 1 Credit™
  • 21.00 Nursing Contact Hours
  • 21.00 Participation

Price

Cost:
$2,500.00
Please login or register to take this course.
Tuition TypeEarly Bird
(On or Before August 31, 2026)
Regular Tuition
(After August 31, 2026)
General Tuition$2,500.00$3,000.00
Mass General Brigham Employee$1,700.00$2,000.00

Discounts:
Mass General Brigham employees receive a discounted course fee. 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:

Cancellation Policy:
Registrations cancelled on or before October 6, 2026 will be refunded, less a $455 administrative fee. Registrations cancelled after October 6, 2026 will not be refunded.

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