AI in Family Medicine: Transforming Your Practice
Free Online CME
This 3-part course is designed to teach you how to use the emerging technology of artificial intelligence (AI) to support and enhance your practice.
Technological innovations can reduce administrative burden, improve payment models, and protect the scope of family medicine. AI can process data to predict health-related outcomes important to your patients, such as opioid use, emergency department visits, and death.
As AI use increases, family physician participation is essential to shape this technology into a patient-centric tool.
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
0.5 credits
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
Session 2: AI—Applied in Primary Care
0.5 credits
Available May 19, 2023
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
Session 3: AI—Solutions
0.5 credits*
Available May 26, 2023
Learning Objectives:
- 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.
*Enhance your patient care today and earn up to 2 additional AAFP Prescribed credits for when you complete the Translation to Practice® (t2p®) process.
- High-speed broadband connection required for online access.
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- Latest version of Adobe Reader.
The AAFP has reviewed AI in Family Medicine: Transforming Your Practice and deemed it acceptable for up to 1.50 Enduring Materials, Self-Study AAFP Prescribed credit. Term of Approval is from 5/22/2023 to 5/22/2026. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
The AAFP is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
The American Academy of Family Physicians designates this Enduring Materials for a maximum of 1.50 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
CME activities approved for AAFP credit are recognized by the AOA as equivalent to AOA Category 2 credit.
Following this CME activity, participants will have the opportunity to earn an additional two Prescribed credits for participation in each Translation to Practice® exercise. Information on Translation to Practice® will be shared within the activity.
Using Technology to Reduce Admin Burden CME - 8.75 CME credits
AAFP Innovation Lab