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学习型医疗保健系统数据共享实现卫生信息的经济利用。

Economical Utilization of Health Information with Learning Healthcare System Data Commons.

出版信息

Perspect Health Inf Manag. 2022 Mar 15;19(Spring):1d. eCollection 2022 Spring.

PMID:35692848
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9123530/
Abstract

Finding, accessing, sharing, and analyzing patient data from a clinical setting for collaborative research has continually proven to be a challenge in healthcare organizations. The human and technological architecture required to perform these services exist at the largest academic institutions but are usually under-funded. At smaller, less academically focused healthcare organizations across the United States, where the majority of care is delivered, they are generally absent. Here we propose a solution called the Learning Healthcare System Data Commons where cost is usage-based and the most basic elements are designed to be extensible, allowing it to evolve with the changing landscape of healthcare. Herein we also discuss our reference implementation of this platform tailored specifically for operational sustainability and governance using the data generated in a hospital setting for research, quality, and educational purposes.

摘要

从临床环境中查找、访问、共享和分析患者数据以进行协作研究,这在医疗保健组织中一直是一个挑战。执行这些服务所需的人力和技术架构在最大的学术机构中存在,但通常资金不足。在美国,大多数医疗服务都是在较小的、学术重点较少的医疗机构提供的,这些机构通常缺乏这些架构。在这里,我们提出了一个名为“学习医疗系统数据共享中心”的解决方案,其成本基于使用情况,并且最基本的元素旨在具有可扩展性,使其能够随着医疗保健领域的不断变化而发展。在这里,我们还讨论了我们对该平台的参考实现,该平台专门针对使用医院环境中生成的数据进行研究、质量和教育目的的运营可持续性和治理进行了定制。

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本文引用的文献

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Yearb Med Inform. 2019 Aug;28(1):174-178. doi: 10.1055/s-0039-1677935. Epub 2019 Aug 16.
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J Clin Transl Sci. 2018 Oct;2(5):267-275. doi: 10.1017/cts.2018.332. Epub 2018 Dec 5.
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Structurally Mapping Healthcare Data to HL7 FHIR through Ontology Alignment.通过本体对齐,将医疗保健数据结构映射到 HL7 FHIR。
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Data Lakes, Clouds, and Commons: A Review of Platforms for Analyzing and Sharing Genomic Data.数据湖、云与公共数据池:基因组数据分析与共享平台综述
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