Nan Shan, Tang Tianhua, Feng Hongshuo, Wang Yijie, Li Mengyang, Lu Xudong, Duan Huilong
College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, China.
Information Systems Industrial Engineering & Innovation Sciences, Technical University of Eindhoven, Eindhoven, Netherlands.
JMIR Med Inform. 2020 Oct 1;8(10):e21628. doi: 10.2196/21628.
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.
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.
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.
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.
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.
新型冠状病毒肺炎（COVID-19）是一场全球大流行疾病，正在影响全球200多个国家。高效的诊断和治疗对于抗击该疾病至关重要。计算机可解释指南（CIG）有助于在全球广泛采用基于证据的诊断和治疗知识。然而，目前尚无国际可共享的CIG。
本研究的目的是建立一种快速的CIG开发与传播方法，并将其应用于开发可共享的COVID-19 CIG。
设计并应用了一种6步快速CIG开发与传播方法。该方法明确了流程、角色和可交付工件，以消除CIG开发过程中的歧义。使用指南定义语言（GDL）来捕捉临床规则。通过对中国COVID-19诊断和治疗指南进行翻译、解读、注释、提取和形式化，开发了COVID-19的CIG。实施了一个原型应用程序来验证该CIG。
我们为COVID-19指南使用了27个原型。我们制定了18条GDL规则，以涵盖叙述性指南中的诊断和治疗建议算法。该CIG进一步转换为对象数据模型和Drools规则，以便未使用非开放EHR原型的人员使用。原型应用程序使用公共数据集验证了CIG的正确性。GDL规则和Drools规则均已在GitHub上发布。
我们的快速CIG开发与传播方法加快了COVID-19 CIG的开发速度。现已向公众提供经过验证的COVID-19 CIG。
