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Designing a Digital Medical Management Training Simulator Using Distributed Cognition Theory

机译：基于分布式认知理论的数字医疗管理培训模拟器设计

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摘要

Background. Training of medical professionals is important to improve care duringrnmass-causality events. Therefore, it is essential to extend knowledge on how torndesign valid and usable simulation-based training environments.rnPurpose. This article investigates how distributed cognition and simulation theoryrnconcepts can guide design of simulation-based training environments. Wernpresent the design and user evaluation of DigEmergo, a simulator for trainingrnand assessing emergency medicine management.rnDesign approach. A prior Distributed Cognition in Teamwork (DiCoT) analysis ofrnthe Emergo Train System (ETS) guided the design process. The design objectivernof DigEmergo was to be useful, usable, retain distributed cognition features ofrnETS, and strengthen validity and output reliability.rnEvaluation. Eight expert ETS instructors participated in a formative systemrnevaluation. The Technology Assessment Model (TAM) questionnaire was usedrnto measure usefulness and ease of use. Observations and post-test interviewsrnwere conducted to contextualize the measures.rnResults. The results showed that DigEmergo was perceived as somewhat to quiternuseful and somewhat easy to use. Overall, expert users considered DigEmergornpromising and successful in retaining core ETS features.rnConclusions. The study indicates that a design methodology based on distributedrncognition and simulation theory can be successfully combined to guide simulatorrn(re)design and strengthen simulator validity.
机译：背景。对医疗专业人员的培训对于改善因果关系事件期间的护理非常重要。因此，必须扩展有关如何撕裂设计有效且可用的基于仿真的培训环境的知识。本文研究了分布式认知和模拟理论的概念如何指导基于模拟的训练环境的设计。 Wern介绍了DigEmergo的设计和用户评估，DigEmergo是一种用于培训和评估急诊药物管理的模拟器。rn设计方法。先前对Emergo火车系统（ETS）进行的团队合作中的分布式认知（DiCoT）分析指导了设计过程。 DigEmergo的设计目标是有用，可用的，保留rnETS的分布式认知功能，并增强有效性和输出可靠性。 8名ETS专家讲师参加了形成性系统评估。使用技术评估模型（TAM）问卷来衡量有用性和易用性。进行观察和测试后访谈以使这些措施具体化。结果表明，DigEmergo被认为有些多余，并且易于使用。总体而言，专家用户认为DigEmergorn有前途，并成功保留了ETS核心功能。研究表明，基于分布式认知和仿真理论的设计方法可以成功地指导仿真器的设计（重新）并增强仿真器的有效性。

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