AI in Family Medicine: Transforming Your Practice
Free online AI CME
As AI use increases, family physician participation is essential to shape this technology into a patient-centric tool.
This free 3-part CME course teaches you how to use the emerging technology of artificial intelligence (AI) to support and enhance your practice.
AI can process data to predict health-related outcomes important to your patients, such as opioid use, emergency department visits, and death.
- How AI and machine learning work
- Roles that AI and machine learning can perform
- Potential pitfalls of AI and machine learning solutions
As AI use increases, family physician participation is essential to shape this technology into a patient-centric tool.
This free 3-part CME course teaches you how to use the emerging technology of artificial intelligence (AI) to support and enhance your practice.
AI can process data to predict health-related outcomes important to your patients, such as opioid use, emergency department visits, and death.
- How AI and machine learning work
- Roles that AI and machine learning can perform
- Potential pitfalls of AI and machine learning solutions
Learning Objectives
Examine the roles Artificial Intelligence and Machine Learning (AI/ML) can have to improve capacity and extend capabilities in family medicine
Become familiar with the types of AI/ML solutions that are currently being deployed in primary care
Review some of the leading edge AI/ML techniques that could usher in the next generation of AI/ML solutions in family medicine
Review the key concepts needed to develop a heuristic for your evaluation of AI/ML based solutions
Become equipped with questions you should ask solution providers and how to interpret their answers
Examine the potential pitfalls of around AI/ML based solutions
Translate any applicable skills or tools to current practice from the course of the Emerging Innovation Series education
Additional details
Steven E. Waldren, MD, MS
Dr. Waldren is the VP and Chief Medical Informatics Officer at the American Academy of Family Physicians. He is a nationally recognized expert in health information technology and has over 15 years of experience. Prior to joining the AAFP, Dr. Waldren was a National Library of Medicine Medical Informatics Postdoctoral Fellow at the Univ. of Missouri, Columbia; At which time, Dr. Waldren earned a master’s degree in Medical Informatics. Dr. Waldren is also a residency trained family physician. Besides his role at the AAFP, he also participates in many national health care informatics initiatives, including board member of Logica Health, co-chair of the Da Vinci Clinical Advisory Council, and past commissioner on the federal Medicaid Payment and Access Commission.
Session 1: AI Introduction
.5 credits
Session 2: AI—Applied in Primary Care
.5 credits
Session 3: AI—Solutions
.5 credits*
*Enhance your patient care today and earn up to 2 additional AAFP Prescribed credits for when you complete the Translation to Practice® (t2p®) process.