%0期刊文章%@ 2369-2960 %I JMIR出版物%V 6% 卡塔尔世界杯8强波胆分析N 4% P e21434 %T初级保健哨点网络中的COVID-19监测:应用本体的大流行开发de Lusignan、Simon Liyanage、Harshana McGagh、Dylan Jani、Bhautesh Dinesh Bauwens、Jorgen Byford、Rachel Evans、Dai Fahey、Tom Greenhalgh、Trisha Jones、Nicholas Mair、Frances s.a Okusi、Cecilia Parimalanathan、Vaishnavi Pell、Jill P %A Sherlock、Julian Tamburis、Oscar Tripathy、Manasa Ferreira、Filipa Williams、John Hobbs、F D Richard + Nuffield初级保健健康科学系，牛津大学拉德克利夫初级保健楼，拉德克利夫天文台区，伍德斯托克路，牛津，OX2 6GG，英国，44 1865617283,simon.delusignan@phc.ox.ac.uk %K COVID-19 %K医学信息学%K哨点监测%D 2020 %7 17.11.2020 %9原始论文%J JMIR公共卫生监测%G英文%X背景:为COVID-19监测创建一个本体应有助于确保透明度和一致性。本体在领域级或应用程序级形式化概念。应用程序本体跨域，并通过可测试用例指定。我们的用例是牛津皇家全科医师学院(RCGP)研究和监测中心(RSC)在监测当前大流行并成为大流行研究平台方面作用的延伸。目的:本研究旨在开发COVID-19应用本体，可部署在RCGP RSC研究和监测活动的各个用例领域。方法:我们描述了特定于领域的用例。参与者是RCGP RSC哨点网络，系统是COVID-19大流行的过程，结果是缓解措施的传播和效果。我们使用我们建立的三步方法来开发本体，将本体概念开发与代码映射和数据提取验证分离开来。 We developed a coding system–independent COVID-19 case identification algorithm. As there were no gold-standard pandemic surveillance ontologies, we conducted a rapid Delphi consensus exercise through the International Medical Informatics Association Primary Health Care Informatics working group and extended networks. Results: Our use-case domains included primary care, public health, virology, clinical research, and clinical informatics. Our ontology supported (1) case identification, microbiological sampling, and health outcomes at an individual practice and at the national level; (2) feedback through a dashboard; (3) a national observatory; (4) regular updates for Public Health England; and (5) transformation of a sentinel network into a trial platform. We have identified a total of 19,115 people with a definite COVID-19 status, 5226 probable cases, and 74,293 people with possible COVID-19, within the RCGP RSC network (N=5,370,225). Conclusions: The underpinning structure of our ontological approach has coped with multiple clinical coding challenges. At a time when there is uncertainty about international comparisons, clarity about the basis on which case definitions and outcomes are made from routine data is essential. %M 33112762 %R 10.2196/21434 %U http://publichealth.www.mybigtv.com/2020/4/e21434/ %U https://doi.org/10.2196/21434 %U http://www.ncbi.nlm.nih.gov/pubmed/33112762