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Cited by 164

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Human Simulation in Emergency Medicine Training: A Model Curriculum

Steven A. McLaughlin, David Doezema, David P. Sklar·2002·Academic Emergency Medicine

Abstract

The authors propose a three-year curriculum for emergency medicine residents using human simulation both to teach and to assess the Accreditation Council for Graduate Medical Education (ACGME) core competencies. Human simulation refers to a variety of technologies that allow residents to work through realistic patient problems so as to allow them to make mistakes, learn, and be evaluated without exposing a real patient to risk. This curriculum incorporates 15 simulated patient encounters with gradually increasing difficulty, complexity, and realism into a three-year emergency medicine residency. The core competencies are incorporated into each case, focusing on the areas of patient care, interpersonal skills and communication, professionalism, and practice based learning and improvement. Because of the limitations of current assessment tools, the demonstration of resident competence is used only for formative evaluations. Limitations of this proposal and difficulties in implementation are discussed, along with a description of the organization and initiation of the simulation program.

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OpenAlex · 10.1111/j.1553-2712.2002.tb01593.x

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Metadata

Authors
McLaughlin, S. A., Doezema, D., & Sklar, D. P.
Venue
Academic Emergency Medicine
Publisher
Wiley
Published
2002-11-01
Volume
9
Issue
11
Pages
1310-1318
ISSN
1069-6563 (ISSN-L)
OpenAlex
W2066661477
Cited by
164
References
0
FWCI
2.39
Type
journal article
Language
en
Open access
closed

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This page
CoChat. (2026). Citation check: Human Simulation in Emergency Medicine Training: A Model Curriculum. https://app.cochat.ai/papers/10.1111/j.1553-2712.2002.tb01593.x
The paper
McLaughlin, S. A., Doezema, D., & Sklar, D. P. (2002). Human Simulation in Emergency Medicine Training: A Model Curriculum. Academic Emergency Medicine. https://doi.org/10.1111/j.1553-2712.2002.tb01593.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.