ArticleAEM education and training2023
Developing and authenticating an electronic health record-based report card for assessing residents' clinical performance.
Article in AEM education and training, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- CBME As a Philosophy of Training: Balancing Fidelity and Flexibility in Emergency Medicine.AEM education and training · 2026Review
- Design and implementation of an automated patient-care dashboard to provide individualized patient care data and quality metrics to emergency medicine residents.AEM education and training · 2025Article
- Unlocking inpatient workload insights with electronic health record event logs.Journal of hospital medicine · 2025Article
- Individualized throughput metric reports for emergency medicine residents: Impact on time to disposition and resident perceptions.AEM education and training · 2024Article
- Sharing Is Caring: Helping Institutions and Health Organizations Leverage Data for Educational Improvement.Perspectives on medical education · 2024Article
- Developing and authenticating an electronic health record-based report card for assessing residents' clinical performance.AEM education and training · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: The electronic health record (EHR) is frequently identified as a source of assessment data regarding residents' clinical performance. To better understand how to harness EHR data for education purposes, the authors developed and authenticated a prototype resident report card. This report card used EHR data exclusively and was authenticated with various stakeholders to understand individuals' reactions to and interpretations of EHR data when presented in this way. Methods: Using principles derived from participatory action research and participatory evaluation, this study brought together residents, faculty, a program director, and medical education researchers ( Results: Our results highlighted three themes: data representation, data value, and data literacy. Participants varied in terms of the best way to present the various EHR metrics and felt pertinent contextual information should be included. All participants agreed that the EHR data presented were valuable, but most had concerns about using it for assessment. Finally, participants had difficulties interpreting the data, suggesting that these data could be presented more intuitively and that residents and faculty may require additional training to fully appreciate these EHR data. Conclusions: This work demonstrated how EHR data could be used to assess residents' clinical performance, but it also identified areas that warrant further consideration, especially pertaining to data representation and subsequent interpretation. Providing residents and faculty with EHR data in a resident report card was viewed as most valuable when used to guide feedback and coaching conversations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.