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Background
The Accreditation Council for Graduate Medical Education mandates that programs provide residents with at least semi-annual evaluations of their progress and performance in residency. To create these assessments, residency programs convene Clinical Competency Committees: a group of dedicated faculty who synthesize resident data to assess individual resident strengths and weaknesses that are discussed in the semi-annual meetings. During these meetings, residents also generally perform a self-assessment of their own progress and develop Individualized Learning Plans.
Incorporating objective data into these faculty and resident discussions offers educators and learners a new window into specific and actionable areas for improvement within their practice. This approach involves comparing individual resident physicians’ metrics with those of their resident peers as a point of reference. Quantifying residents’ clinical encounters allows all stakeholders to ensure that residents are exposed to a comprehensive range of clinical scenarios as expected in their training.
To foster this process in our department, we created the Dashboard for Emergency Medicine Resident Learning Metrics Toolkit which contains a dashboard with individualized resident metrics that is used by education faculty and residents.
Who should use this toolkit?
This toolkit is intended for faculty physicians mentoring resident physicians in emergency medicine, especially those in Clinical Competency Committees (as are common to meet ACGME goals).
What does the toolkit contain?
The Dashboard for Emergency Medicine Resident Learning Metrics Toolkit contains the following:
- R and RMarkdown code for generating dashboards
- Computer-generated synthetic data about patient encounters used for generating the dashboard
How should these tools be used?
The materials in this toolkit can be used to:
- Build and customize your own resident performance dashboard
- Improve your resident discussions
Development of this toolkit
The Dashboard for Emergency Medicine Resident Learning Metrics Toolkit was developed by researchers and clinicians (Principal Investigator: Ben Schnapp; Data Scientist: Dann Hekman) at the University of Wisconsin-Madison School of Medicine & Public Health – Department of Emergency Medicine.
Please send questions, comments and suggestions to HIPxChange@hip.wisc.edu.
Toolkit Citation
Hekman DJ, Schnapp B. Dashboard for Emergency Medicine Resident Learning Metrics Toolkit. Berbee-Walsh Department of Emergency Medicine Madison, WI; 2024. Available at: http://www.hipxchange.org/toolkit/EMResidentDashboard
About the Authors
Dann Hekman is a data scientist with the BerbeeWalsh Department of Emergency Medicine and involved in many projects related to emergency department operations and quality measurement.
Benjamin Schnapp, MD, MEd, graduated from The Mount Sinai Hospital emergency medicine residency program in New York City, where he completed a specialty track in medical education and served as chief resident. He completed his medical education fellowship at Northwestern University and is currently completing his Masters in Education with a focus on the Health Professions at the University of Cincinnati. Dr. Schnapp’s interests include clinical teaching skills, the resident as teacher, resident wellness, and decision making. He currently serves on the SAEM Graduate Medical Education and Fellowship Approval committees.
