%0期刊文章%@ 2291- 9694% I JMIR出版物%V 10卡塔尔世界杯8强波胆分析% N 10% P e40344% T成功地将EN/ISO 13606标准化的患者移动应用程序摘录整合到电子健康记录中:方法描述% a Frid，圣地亚哥% a Fuentes Expósito,Maria Angeles % a Grau-Corral,Inmaculada % a Amat-Fernandez,Clara % a Muñoz Mateu，蒙特塞拉特% a Pastor Duran,Xavier % a Lozano-Rubí，Raimundo %+医疗信息部，医院Clínic de Barcelona，维拉罗埃尔170，巴塞罗那，08036，西班牙，34 932 27 54 00 ext 3344，santifrid@gmail.com %K健康信息互操作性%K移动应用程序%K健康信息标准%K人工智能%K电子健康记录%K机器学习%D 2022 %7 12.10.2022 %9原始论文%J JMIR Med Inform %G英文%X背景:越来越需要将患者生成的健康数据(PGHD)集成到健康信息系统(HISs)中。使用基于双重模型的健康信息标准可以实现系统之间的语义互操作性。虽然有证据表明，在移动应用程序和电子健康记录(EHRs)之间使用可替代医疗应用程序和可重用技术的快速医疗互操作性资源(SMART on FHIR)框架进行标准化通信，但尚未探索使用欧洲规范/国际标准化组织(EN/ISO) 13606，尽管在临床知识的建模和正式化方面比FHIR有一些优势。以及创造新概念的灵活性。目的:本研究旨在设计并实现一种基于双模型范式的方法，在患者移动应用程序(Xemio Research)和基于机构本体的临床存储库(OntoCR)之间进行临床信息交流，而不损失意义。方法:本文是在欧洲人工智能支持癌症患者(ASCAPE)的框架下进行的，该项目旨在使用人工智能(AI)/机器学习(ML)机制来支持癌症患者的健康状况和生活质量(QoL)。首先，用EN/ISO 13606原型定义和表示变量“副作用”和“每日步数”。接下来，创建对原型概念建模并将其映射到标准的本体，并将其上传到OntoCR，在那里它们可以接收实例化的患者数据。 Xemio Research used a conversion module in the ASCAPE Local Edge to transform data entered into the app to create EN/ISO 13606 extracts, which were sent to an Application Programming Interface (API) in OntoCR that maps each element in the normalized XML files to its corresponding location in the ontology. This way, instantiated data of patients are stored in the clinical repository. Results: Between December 22, 2020, and April 4, 2022, 1100 extracts of 47 patients were successfully communicated (234/1100, 21.3%, extracts of side effects and 866/1100, 78.7%, extracts of daily activity). Furthermore, the creation of EN/ISO 13606–standardized archetypes allows the reuse of clinical information regarding daily activity and side effects, while with the creation of ontologies, we extended the knowledge representation of our clinical repository. Conclusions: Health information interoperability is one of the requirements for continuity of health care. The dual model allows the separation of knowledge and information in HISs. EN/ISO 13606 was chosen for this project because of the operational mechanisms it offers for data exchange, as well as its flexibility for modeling knowledge and creating new concepts. To the best of our knowledge, this is the first experience reported in the literature of effective communication of EN/ISO 13606 EHR extracts between a patient mobile app and an institutional clinical repository using a scalable standard-agnostic methodology that can be applied to other projects, data sources, and institutions. %M 36222792 %R 10.2196/40344 %U https://medinform.www.mybigtv.com/2022/10/e40344 %U https://doi.org/10.2196/40344 %U http://www.ncbi.nlm.nih.gov/pubmed/36222792