Quantifying Emergency Medicine Residency Learning Curves Using Natural Language Processing: Retrospective Cohort Study

NLP analysis of clinical documentation provides a scalable, detailed method for tracking EM residents' clinical exposure and progression. Many residents continue to gain new experiences into their fourth year, particularly in higher-acuity cases. These findings suggest that a 4-year training model may offer meaningful additional educational value, while also highlighting the importance of individualized assessment given the variability in learning trajectories.

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Publication Details

Journal
JMIR Medical Education
Published
2025-11-09
DOI
https://doi.org/10.2196/82326
Citations
2
Primary Topic
Innovations in Medical Education
Type
article
Field-Weighted Citation Impact
3.76
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article

Quantifying Emergency Medicine Residency Learning Curves Using Natural Language Processing: Retrospective Cohort Study

J. M. Hughes, Christian Rose, William Dixon, Rana Kabeer et al.
2 citations
JMIR Medical Education
Innovations in Medical Education
3.76
article

Quantifying Emergency Medicine Residency Learning Curves Using Natural Language Processing: Retrospective Cohort Study

J. M. Hughes, Christian Rose, William Dixon, Rana Kabeer, Carl Preiksaitis
article en
2 citations

Abstract

NLP analysis of clinical documentation provides a scalable, detailed method for tracking EM residents' clinical exposure and progression. Many residents continue to gain new experiences into their fourth year, particularly in higher-acuity cases. These findings suggest that a 4-year training model may offer meaningful additional educational value, while also highlighting the importance of individualized assessment given the variability in learning trajectories.

JMIR Medical EducationVol. 11
Stanford University (US)
Openalex Percentile: Top 6%
Innovations in Medical Education
3.76
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