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Cited by 771

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.

Debriefing as Formative Assessment: Closing Performance Gaps in Medical Education

Rudolph, Jenny W., Simon, Robert, Raemer, Daniel B., Eppich, Walter J.·2008·Academic Emergency Medicine

Abstract

The authors present a four‐step model of debriefing as formative assessment that blends evidence and theory from education research, the social and cognitive sciences, experience drawn from conducting over 3,000 debriefings, and teaching debriefing to approximately 1,000 clinicians worldwide. The steps are to: 1) note salient performance gaps related to predetermined objectives, 2) provide feedback describing the gap, 3) investigate the basis for the gap by exploring the frames and emotions contributing to the current performance level, and 4) help close the performance gap through discussion or targeted instruction about principles and skills relevant to performance. The authors propose that the model, designed for postsimulation debriefings, can also be applied to bedside teaching in the emergency department (ED) and other clinical settings.

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Registry

Crossref · 10.1111/j.1553-2712.2008.00248.x

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Metadata

Authors
Rudolph, J. W., Simon, R., Raemer, D. B., & Eppich, W. J.
Venue
Academic Emergency Medicine
Publisher
Wiley
Published
2008-11
Volume
15
Issue
11
Pages
1010-1016
ISSN
  • 1069-6563 (ISSN-L)
  • 1553-2712
OpenAlex
W2105608568
Cited by
771
References
41
FWCI
6.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Debriefing as Formative Assessment: Closing Performance Gaps in Medical Education. https://app.cochat.ai/papers/10.1111/j.1553-2712.2008.00248.x
The paper
Rudolph, J. W., Simon, R., Raemer, D. B., & Eppich, W. J. (2008). Debriefing as Formative Assessment: Closing Performance Gaps in Medical Education. Academic Emergency Medicine. https://doi.org/10.1111/j.1553-2712.2008.00248.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.