新问题的新范例:扩大医疗保健领域的信息技术。

J Griffin
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引用次数: 0

摘要

随着医疗保健从个人按服务收费和单一医院系统转向资本合同和集成交付系统(IDS),然后进入社区卫生信息网络(CHINs),实现数据仓库是收集数据并将其转换为有意义信息的一种现实方法。然而,由于其复杂性,医疗保健不同于其他行业。软件更加专业化,许多供应商采用了专有的操作系统来控制关键数据。即使有数据,数据也没有整合,而且比其他行业更复杂。要获得完整的患者概要,医疗保健事务中可能有750个关键数据元素,而金融事务中估计有150个数据元素。病史、行为和诊断信息需要在连续护理的多个点:医生办公室、康复中心、药房、急诊室、实验室和医院。此外,连续体上的这些点必须与它们所服务的社区和医疗保健购买者进行沟通。本文将介绍数据仓库以及可用于在医疗保健环境中整合和集成信息的不同技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New paradigms for new problems: expanding information technology in healthcare.

As healthcare moves from individual fee-for-services and single hospital systems to capitated contracts and integrated delivery systems (IDS), and then into Community Health Information Networks (CHINs), implementing a data warehouse is a realistic way to collect and transform data into meaningful information. However, healthcare differs from other industries because of its complexity. The software is more specialized, and many vendors have adopted proprietary operating systems that hold critical data hostage. Even when available, data is not integrated and is more convoluted than in other industries. To have a complete patient profile, there can be 750 critical data elements in a healthcare transaction, as compared to an estimated 150 data elements in a financial transaction. Historical, behavioral, and diagnostic information is needed at multiple points along the continuum of care: physician's office, rehabilitation, pharmacy, emergency room, laboratory, and hospital. Additionally, these points along the continuum must communicate with the community they serve and the purchasers of healthcare. This article looks at data warehousing and the different technologies available for consolidating and integrating information in the healthcare environment.

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