Medical Education
Telemedicine/EHR/Medical Informatics
Vasudha Bhavaraju, MD
Chief Medical Education Officer/DIO
Phoenix Children's Hospital
Phoenix, Arizona, United States
Sarada Panchanathan, MD, MS
Clinical Associate Professor
University of Arizona College of Medicine Phoenix
Phoenix, Arizona, United States
Brigham Willis, MD, MEd
Dean
UT Tyler School of Medicine
Tyler, Texas, United States
Pamela Garcia-Filion, PhD
Research Associate Scientist
University of Arizona, College of Medicine-Phoenix, United States
Medical education has traditionally been time-based, which presumes all learners will meet professional standards in a pre-set time. Conversely, competence-based education assesses standards using outcomes and is more learner-centered. This latter model references Kolb’s framework for experiential learning and emphasizes reflection on direct patient encounters to progress. This concept is essential, but unlike surgical specialties where “procedure case logs” are required to gauge movement towards independence, pediatrics and other medical specialties do not have such requirements, largely because capturing and standardizing these data is challenging. The EHR is a repository that can provide individual trainees a survey of their clinical experiences for reflection and in aggregate, could establish “clinical case logs” and the ideal volume and variety of pediatric experiences to monitor progress relative to peer and benchmark averages.
In this workshop, participants will learn how to leverage the EHR to capture data on pediatric trainees’ direct clinical experiences and make these data applicable for experiential, self-directed learning. Participants will identify an opportunity, as educators, where their learners might benefit from reviewing the types of encounters they have seen. In small groups, participants will use a project planning template to create a data-driven educational question and make the proper report requests from IT so EHR data is relevant and organized in a manner functional for use. Finally, participants will explore and choose the ideal data visualization so their learners can quickly glean information about their clinical experiences compared to benchmark groups and formulate learning goals based on the information provided.