Pattern-Based Statechart Modeling Approach for Medical Best Practice Guidelines - A Case Study

Chunhui Guo, Zhicheng Fu, Shangping Ren, Yu Jiang, M. Rahmaniheris, L. Sha
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引用次数: 9

Abstract

Improving effectiveness and safety of patient care is an ultimate objective for medical cyber-physical systems. Many medical best practice guidelines exist in the format of hospital handbooks which are often lengthy and difficult for medical staff to remember and apply clinically. Statechart is an effective tool to model medical guidelines and enables clinical validation with medical staffs. However, some advanced statechart elements could result in high cost, such as low understandability, high difficulty in clinical validation, formal verification, and failure trace back. The paper presents a pattern-based statechart modeling approach for medical best practice guidelines, i.e., model medical guidelines with basic statechart elements and model patterns which are built upon these basic elements. For practical use, we implement the proposed approach based on open-source Yakindu statecharts. We also use a simplified cardiac arrest scenario provided to our team by Carle Foundation Hospital as a case study to validate the proposed approach.
医疗最佳实践指南的基于模式的状态图建模方法-一个案例研究
提高患者护理的有效性和安全性是医疗信息物理系统的最终目标。许多医疗最佳实践准则以医院手册的形式存在,这些手册往往很长,医务人员难以记住和临床应用。Statechart是一种有效的医疗指南建模工具,可以让医务人员进行临床验证。然而,一些高级的状态图元素可能会导致高成本,例如低可理解性,在临床验证、形式验证和失败追溯方面的高难度。本文提出了一种基于模式的医疗最佳实践指南状态图建模方法,即使用基本状态图元素和基于这些基本元素构建的模型模式对医疗指南进行建模。在实际应用中,我们基于开源的Yakindu状态图实现了所提出的方法。我们还使用卡尔基金会医院提供给我们团队的一个简化的心脏骤停场景作为案例研究来验证所提出的方法。
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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