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首页> 外文期刊>Journal of the American Medical Informatics Association : >Electronic Support for Public Health: validated case finding and reporting for notifiable diseases using electronic medical data.
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Electronic Support for Public Health: validated case finding and reporting for notifiable diseases using electronic medical data.

机译:电子公共卫生支持:使用电子医疗数据对发现的病例进行报告并报告应报告的疾病。

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摘要

Health care providers are legally obliged to report cases of specified diseases to public health authorities, but existing manual, provider-initiated reporting systems generally result in incomplete, error-prone, and tardy information flow. Automated laboratory-based reports are more likely accurate and timely, but lack clinical information and treatment details. Here, we describe the Electronic Support for Public Health (ESP) application, a robust, automated, secure, portable public health detection and messaging system for cases of notifiable diseases. The ESP application applies disease specific logic to any complete source of electronic medical data in a fully automated process, and supports an optional case management workflow system for case notification control. All relevant clinical, laboratory and demographic details are securely transferred to the local health authority as an HL7 message. The ESP application has operated continuously in production mode since January 2007, applying rigorously validated case identification logic to ambulatory EMR data from more than 600,000 patients. Source code for this highly interoperable application is freely available under an approved open-source license at http://esphealth.org.
机译:医疗保健提供者在法律上有义务向公共卫生当局报告特定疾病的病例,但是现有的手动,由提供者启动的报告系统通常会导致信息流不完整,容易出错且迟滞。基于实验室的自动化报告更可能准确,及时,但缺乏临床信息和治疗细节。在这里,我们描述了公共卫生电子支持(ESP)应用程序,这是一种用于应通报疾病的健壮,自动化,安全,便携式公共卫生检测和消息传递系统。 ESP应用程序在全自动过程中将特定于疾病的逻辑应用于任何完整的电子医疗数据源,并支持可选的案件管理工作流系统以进行案件通知控制。所有相关的临床,实验室和人口统计详细信息都将作为HL7消息安全地转移到当地卫生部门。自2007年1月以来,ESP应用程序一直在生产模式下连续运行,将经过严格验证的病例识别逻辑应用于来自600,000多名患者的动态EMR数据。此高度可互操作的应用程序的源代码可根据http://esphealth.org上已批准的开源许可证免费获得。

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