%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 e42429 %T快速医疗互操作性资源，用于具有时间序列生命体征的住院患者恶化检测:台湾大学计算机科学与信息工程系，台北市罗斯福路四段1号，106319,886 963079621，设计与实现研究曾亚伟，苏亚伟，赖昌福，费培+chaaa463@gmail.com %K快速医疗互操作性资源%K FHIR %K健康水平7% %K HL7 %K健康研究%K数据共享%K健康信息技术%K临床研究%D 2022 %7 13.10.2022 %9原始论文%J JMIR Med Inform %G英文%X背景:生命体征已广泛应用于院内心脏骤停(IHCA)评估，在住院患者病情恶化检测中发挥着重要作用。随着预警系统和人工智能应用数量的增加，医疗保健信息交换和互操作性变得越来越复杂和困难。尽管Health Level 7快速医疗互操作性资源(FHIR)已经开发了一个生命体征概要文件，但它还不足以支持IHCA应用程序或基于机器学习的模型。目标:在本文中，对于具有生命体征的IHCA实例，我们定义了一个新的实现指南，包括数据映射、系统架构、工作流和FHIR应用程序。方法:访谈10位医疗系统整合专家，制定实施指南。然后，我们开发了FHIR提取转换负载以将数据映射到FHIR资源。我们还集成了早期预警系统和机器学习管道。结果:研究数据集包括前往恩竹岗医院的成年住院患者的电子健康记录。 Medical staff regularly measured these vital signs at least 2 to 3 times per day during the day, night, and early morning. We used pseudonymization to protect patient privacy. Then, we converted the vital signs to FHIR observations in the JSON format using the FHIR Extract Transform Load application. The measured vital signs include systolic blood pressure, diastolic blood pressure, heart rate, respiratory rate, and body temperature. According to clinical requirements, we also extracted the electronic health record information to the FHIR server. Finally, we integrated an early warning system and machine learning pipeline using the FHIR RESTful application programming interface. Conclusions: We successfully demonstrated a process that standardizes health care information for inpatient deterioration detection using vital signs. Based on the FHIR definition, we also provided an implementation guide that includes data mapping, an integration process, and IHCA assessment using vital signs. We also proposed a clarifying system architecture and possible workflows. Based on FHIR, we integrated the 3 different systems in 1 dashboard system, which can effectively solve the complexity of the system in the medical staff workflow. %M 36227636 %R 10.2196/42429 %U https://medinform.www.mybigtv.com/2022/10/e42429 %U https://doi.org/10.2196/42429 %U http://www.ncbi.nlm.nih.gov/pubmed/36227636