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开发共享的脓毒症数据基础设施:一项针对FHIR的系统评价和概念图

Developing a shared sepsis data infrastructure: a systematic review and concept map to FHIR.

作者信息

Brant Emily B, Kennedy Jason N, King Andrew J, Gerstley Lawrence D, Mishra Pranita, Schlessinger David, Shalaby James, Escobar Gabriel J, Angus Derek C, Seymour Christopher W, Liu Vincent X

机构信息

Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.

Clinical Research, Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Pittsburgh, PA, USA.

出版信息

NPJ Digit Med. 2022 Apr 4;5(1):44. doi: 10.1038/s41746-022-00580-2.

Abstract

The development of a shared data infrastructure across health systems could improve research, clinical care, and health policy across a spectrum of diseases, including sepsis. Awareness of the potential value of such infrastructure has been heightened by COVID-19, as the lack of a real-time, interoperable data network impaired disease identification, mitigation, and eradication. The Sepsis on FHIR collaboration establishes a dynamic, federated, and interoperable system of sepsis data from 55 hospitals using 2 distinct inpatient electronic health record systems. Here we report on phase 1, a systematic review to identify clinical variables required to define sepsis and its subtypes to produce a concept mapping of elements onto Fast Healthcare Interoperability Resources (FHIR). Relevant papers described consensus sepsis definitions, provided criteria for sepsis, severe sepsis, septic shock, or detailed sepsis subtypes. Studies not written in English, published prior to 1970, or "grey" literature were prospectively excluded. We analyzed 55 manuscripts yielding 151 unique clinical variables. We then mapped variables to their corresponding US Core FHIR resources and specific code values. This work establishes the framework to develop a flexible infrastructure for sharing sepsis data, highlighting how FHIR could enable the extension of this approach to other important conditions relevant to public health.

摘要

跨卫生系统开发共享数据基础设施可以改善包括脓毒症在内的一系列疾病的研究、临床护理和卫生政策。新冠疫情提高了人们对这种基础设施潜在价值的认识,因为缺乏实时、可互操作的数据网络阻碍了疾病的识别、缓解和根除。“基于FHIR的脓毒症”合作项目建立了一个动态、联合且可互操作的脓毒症数据系统,该系统来自55家医院,使用两种不同的住院电子健康记录系统。在此,我们报告第一阶段,即一项系统综述,以确定定义脓毒症及其亚型所需的临床变量,从而生成一个将元素映射到快速医疗保健互操作性资源(FHIR)上的概念图。相关论文描述了脓毒症的共识定义,提供了脓毒症、严重脓毒症、脓毒性休克或详细脓毒症亚型的标准。前瞻性地排除了非英文撰写、1970年之前发表的研究或“灰色”文献。我们分析了55篇手稿,得出151个独特的临床变量。然后,我们将变量映射到其相应的美国核心FHIR资源和特定代码值。这项工作建立了一个框架,用于开发一个灵活的基础设施来共享脓毒症数据,突出了FHIR如何能够将这种方法扩展到与公共卫生相关的其他重要疾病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29d6/8979949/b139df3a664d/41746_2022_580_Fig1_HTML.jpg

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