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A Computer-Interpretable Guideline for COVID-19: Rapid Development and Dissemination

机译：Covid-19的计算机可解释指南：快速发展和传播

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Background COVID-19 is a global pandemic that is affecting more than 200 countries worldwide. Efficient diagnosis and treatment are crucial to combat the disease. Computer-interpretable guidelines (CIGs) can aid the broad global adoption of evidence-based diagnosis and treatment knowledge. However, currently, no internationally shareable CIG exists. Objective The aim of this study was to establish a rapid CIG development and dissemination approach and apply it to develop a shareable CIG for COVID-19. Methods A 6-step rapid CIG development and dissemination approach was designed and applied. Processes, roles, and deliverable artifacts were specified in this approach to eliminate ambiguities during development of the CIG. The Guideline Definition Language (GDL) was used to capture the clinical rules. A CIG for COVID-19 was developed by translating, interpreting, annotating, extracting, and formalizing the Chinese COVID-19 diagnosis and treatment guideline. A prototype application was implemented to validate the CIG. Results We used 27 archetypes for the COVID-19 guideline. We developed 18 GDL rules to cover the diagnosis and treatment suggestion algorithms in the narrative guideline. The CIG was further translated to object data model and Drools rules to facilitate its use by people who do not employ the non-openEHR archetype. The prototype application validated the correctness of the CIG with a public data set. Both the GDL rules and Drools rules have been disseminated on GitHub. Conclusions Our rapid CIG development and dissemination approach accelerated the pace of COVID-19 CIG development. A validated COVID-19 CIG is now available to the public.
机译：背景COVID-19是一个影响全球200多个国家的全球大流行。高效的诊断和治疗对于对抗这种疾病至关重要。计算机可解释的指南（CIGS）可以帮助广泛的全球采用基于证据的诊断和治疗知识。但是，目前，不存在国际可共享的CIG。目的本研究的目的是建立一种快速的CIG开发和传播方法，并将其应用于开发Covid-19的可共享CIG。方法采用6步快速开发和传播方法设计和应用。在这种方法中规定了过程，角色和可交付工件，以消除CIG开发期间的含糊不清。指南定义语言（GDL）用于捕获临床规则。通过翻译，解释，注释，提取和正式化COVID-19诊断和治疗指南，开发了Covid-19的CIG。实施原型应用程序以验证CIG。结果我们使用了27个原型的Covid-19指南。我们开发了18个GDL规则，以涵盖叙事指南中的诊断和治疗建议算法。 CIG进一步转换为对象数据模型，流口语规则，以促进不采用非Openehr Archetype的人使用。原型应用程序通过公共数据集验证了CIG的正确性。 GDL规则和口流量规则都已在GitHub上传播。结论我们的快速CIG开发和传播方法加速了Covid-19 CIG开发的步伐。现有的经过验证的Covid-19 CIG。

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