BACKGROUND Coronavirus disease 2019 (COVID-19) is a global pandemic affecting more than 200 counties . Efficient diagnosis and effective treatment are crucial to combat the disease . Computer interpretable guidelines (CIG) can help the broad adoption of evidence-based diagnosis and treatment knowledge globally . However, there is currently a lack of an internationally shareable CIG .
OBJECTIVE This study aims to contribute a rapid CIG development and dissemination approach and develop a shareable CIG for COVID-19 .
METHODS A six-step rapid CIG development and dissemination approach was designed and applied . Processes, roles, and deliverable artifacts were specified in this approach to eliminate the ambiguities during CIG development . Guideline definition language (GDL) was used to capture the clinical rules . By translating, interpreting, annotating, extracting, and formalizing the Chinese COVID-19 diagnosis and treatment guideline, a CIG for COVID-19 was developed . A prototype application was implemented to validate the CIG .
RESULTS 27 archetypes have been used for the COVID-19 guideline . 18 GDL rules were developed to cover the diagnosis and treatment suggestion algorithms in the narrative guideline . The CIG is further translated to object data model and Drools rules to facilitate the use of non-openEHR users . The prototype application validates the correctness of the CIG with a public data set . Both the GDL rules and Drools rules have been disseminated on GitHub .
CONCLUSIONS The proposed rapid CIG development and dissemination approach accelerated the pace of COVID-19 CIG development . A validated COVID-19 CIG is now available for the public . CLINICALTRIAL