Bringing Ophthalmic Graduate Medical Education into the 2020s with Information Technology

• Type of Material: Article
• Authors: Emily Cole, University of Illinois at Chicago; Nita G Valikodath, University of Illinois at Chicago; April Maa, Emory University; Paul RV Chan, University of Illinois at Chicago; Michael F Chiang, Oregon Health and Science University; Aaron Y Lee, University of Washington; Daniel C Tu, Oregon Health and Science University; Thomas S Hwang, Oregon Health and Science University
• Language: English
• Date: 2021-03-01
• Publisher: Elsevier Inc.
• Publication Version: Author Accepted Manuscript (After Peer Review)
• Copyright Statement: © 2020 by the American Academy of Ophthalmology
• License: Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International
• Final Published Version (URL): http://dx.doi.org/10.1016/j.ophtha.2020.11.019
• Title of Journal or Parent Work: Ophthalmology
• Volume: 128
• Issue: 3
• Start Page: 349
• End Page: 353
• Keywords: Telemedicine; Ophthalmology; Artificial Intelligence; Education, Medical, Graduate; Humans; Information Technology; Electronic Health Records

Abstract

To adapt to the changing field of ophthalmology, graduate medical education (GME) must teach trainees to harness the power of information technology. The Accreditation Council for Graduate Medical Education (ACGME) Ophthalmology Milestones 2.0 includes the use of information technology, such as the integration of multimodal data into clinical diagnosis for patient-centered care, effective communication and documentation utilizing the electronic health records (EHR), and analysis of EHR data for quality improvement.