Improving uptake of population health management through scalable analysis of linked electronic health data.

IF 2.2 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Andras B Varady, Richard M Wood
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引用次数: 0

Abstract

Population Health Management - often abbreviated to PHM - is a relatively new approach for healthcare planning, requiring the application of analytical techniques to linked patient level data. Despite expectations for greater uptake of PHM, there is a deficit of available solutions to help health services embed it into routine use. This paper concerns the development, application and use of an interactive tool which can be linked to a healthcare system's data warehouse and employed to readily perform key PHM tasks such as population segmentation, risk stratification, and deriving various performance metrics and descriptive summaries. Developed through open-source code in a large healthcare system in South West England, and used by others around the country, this paper demonstrates the importance of a scalable, purpose-built solution for improving the uptake of PHM in health services.

通过对关联的电子健康数据进行可扩展的分析,提高人口健康管理的普及率。
人口健康管理--通常简称为 PHM--是一种相对较新的医疗保健规划方法,需要将分析技术应用于关联的患者级别数据。尽管人们期望更多地采用 PHM,但目前还缺乏可用的解决方案来帮助医疗服务机构将其纳入常规使用。本文介绍了一种交互式工具的开发、应用和使用情况,该工具可与医疗系统的数据仓库相连接,并可用于随时执行公共健康管理的关键任务,如人群细分、风险分层以及得出各种绩效指标和描述性总结。本文通过开源代码在英格兰西南部的一个大型医疗保健系统中开发,并被全国各地的其他医疗保健系统所使用,证明了可扩展的专用解决方案对于提高医疗保健服务中 PHM 使用率的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Health Informatics Journal
Health Informatics Journal HEALTH CARE SCIENCES & SERVICES-MEDICAL INFORMATICS
CiteScore
7.80
自引率
6.70%
发文量
80
审稿时长
6 months
期刊介绍: Health Informatics Journal is an international peer-reviewed journal. All papers submitted to Health Informatics Journal are subject to peer review by members of a carefully appointed editorial board. The journal operates a conventional single-blind reviewing policy in which the reviewer’s name is always concealed from the submitting author.
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