Education Research: Educational Informatics
Gaps in preparedness for independent practice are common among recent graduates. Clinical experiences serve as the foundation for learning during residency, yet the breadth and variability of clinical exposure of child neurology residents remain poorly characterized. To inform programmatic curricular development and precision medical education (PME), we must better characterize learners' clinical exposure during training. We aimed to use electronic health record (EHR) data to catalog resident clinical experiences, linking diagnostic codes to educational benchmarks.
Authors
- Louis T. Dang (ORCID: https://orcid.org/0000-0003-4853-4952)
- Brian J. Stamm (ORCID: https://orcid.org/0000-0002-0862-9650)
- Elizabeth Troy (ORCID: https://orcid.org/0000-0001-5323-428X)
- Adam Dziorny (ORCID: https://orcid.org/0000-0002-3392-2795)
- Kathryn Xixis (ORCID: https://orcid.org/0000-0002-6423-1065)
- Mark Mai (ORCID: https://orcid.org/0000-0003-0346-5818)
- Joshua Adams (ORCID: https://orcid.org/0000-0002-9556-9499)
- Miya E. Bernson‐Leung (ORCID: https://orcid.org/0000-0002-7766-2323)
- Rachel Gottlieb‐Smith (ORCID: https://orcid.org/0000-0002-6066-5966)
- Robert Thompson-Stone (ORCID: https://orcid.org/0000-0003-1062-854X)
- Bittu Majmudar-Sheth (ORCID: https://orcid.org/0000-0003-3206-0414)
Institutions
- Boston Children's Hospital (US)
- Harvard University (US)
- Emory University (US)
- University of Michigan (US)
- Children's Hospital Colorado (US)
- Golisano Children's Hospital (US)
- Indiana University School of Medicine
- University of Virginia (US)
- Indiana University – Purdue University Indianapolis (US)
- University of Colorado Denver (US)
Publication Details
- Journal
- Neurology Education
- Published
- 2026-06-26
- DOI
- https://doi.org/10.1212/ne9.0000000000200334
- Primary Topic
- Intelligent Tutoring Systems and Adaptive Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.00