Cognitive Support During High-Consequence Episodes of Care in Cardiovascular Surgery.

... IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support. IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support Pub Date : 2017-03-01 Epub Date: 2017-05-18 DOI:10.1109/COGSIMA.2017.7929610

Heather M Conboy, George S Avrunin, Lori A Clarke, Leon J Osterweil, Stefan C Christov, Julian M Goldman, Steven J Yule, Marco A Zenati

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引用次数: 7

Abstract

Despite significant efforts to reduce preventable adverse events in medical processes, such events continue to occur at unacceptable rates. This paper describes a computer science approach that uses formal process modeling to provide situationally aware monitoring and management support to medical professionals performing complex processes. These process models represent both normative and non-normative situations, and are validated by rigorous automated techniques such as model checking and fault tree analysis, in addition to careful review by experts. Context-aware Smart Checklists are then generated from the models, providing cognitive support during high-consequence surgical episodes. The approach is illustrated with a case study in cardiovascular surgery.

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心血管外科高后果期护理中的认知支持。

尽管为减少医疗过程中可预防的不良事件作出了重大努力，但此类事件的发生率仍然令人无法接受。本文描述了一种计算机科学方法，该方法使用正式过程建模为执行复杂过程的医疗专业人员提供态势感知监测和管理支持。这些过程模型代表了规范和非规范的情况，并通过严格的自动化技术，如模型检查和故障树分析，以及专家的仔细审查来验证。然后从模型中生成上下文感知智能清单，在高后果手术发作期间提供认知支持。本文以心血管手术为例，对该方法进行了说明。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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