Suppr超能文献

构建电子健康记录的影响:一项系统综述方案及既往综述结果

Impacts of structuring the electronic health record: a systematic review protocol and results of previous reviews.

作者信息

Hyppönen Hannele, Saranto Kaija, Vuokko Riikka, Mäkelä-Bengs Päivi, Doupi Persephone, Lindqvist Minna, Mäkelä Marjukka

机构信息

Institute for Health and Welfare (THL), Department of Information, PB 30, 00271 Helsinki, Finland.

University of Eastern Finland, Finland.

出版信息

Int J Med Inform. 2014 Mar;83(3):159-69. doi: 10.1016/j.ijmedinf.2013.11.006. Epub 2013 Dec 8.

Abstract

PURPOSE

This paper (1) presents the protocol of an on-going systematic literature review on the methods of structuring electronic health record (EHR) data and studying the impacts of implemented structures, thus laying basis for the analysis of the empirical articles (2) describes previous reviews published on the subject and retrieved during the search of bibliographic databases, and (3) presents a summary of the results of previous reviews.

METHODS

Cochrane instructions were exploited to outline the review protocol - phases and search elements. Test searches were conducted to refine the search. The abstracts and/or full texts of review papers captured by the search were read by two of the team members independently, with disagreements first negotiated between them and if necessary eventually resolved in the team meetings. Additional review articles were picked from the reference lists of the reviews included in our search results. The elements defined in the search strategy and analytic framework were converted to a data extraction tool, which was tested by extracting data from the reviews captured by the search. Descriptive analysis of the extracted data was conducted.

RESULTS

The 12-stage review protocol that we developed includes definition of the problem, the search strategy and search terms, testing the strategy, conducting the search, updating search from references found, removing duplicates, defining the inclusion and exclusion criteria, exclusion and inclusion of papers, definition of the analytic framework to extract data, extracting data and reporting results. Our searches in fifteen electronic bibliographic databases retrieved 27 reviews, of which 14 were included for full text analysis. Of these, 11 focused on medical and three on nursing record structures. The data structures included forms, ontologies, classifications and terminologies. Some evidence was found on data structure impact on information quality, process quality and efficiency, but not on patients or professionals.

CONCLUSIONS

The 12 step review protocol resulted in a variety of reviews of different ways to structure EHR data. None of them compared outcomes of different structuring methods; all had a narrower definition of the Intervention (a specific EHR structure) and Outcome (a specific impact category). Several reviews missed a clear connection between the data structures (interventions) and outcomes, indicating that the methods and applications for structuring patient data have rarely been viewed as independent variables. The review protocol should be defined in a manner that allows replication of the review. There are different ways of structuring patient data with varying impacts, which should be distinguished in further empirical studies, as well as reviews.

摘要

目的

本文(1)介绍了一项正在进行的关于构建电子健康记录(EHR)数据方法及研究已实施结构影响的系统文献综述方案,为实证文章的分析奠定基础;(2)描述了在检索书目数据库过程中检索到的关于该主题的先前综述;(3)呈现了先前综述的结果总结。

方法

利用Cochrane指南概述综述方案——阶段和检索要素。进行测试检索以完善检索策略。检索到的综述论文的摘要和/或全文由两名团队成员独立阅读,分歧首先由他们之间协商,如有必要最终在团队会议上解决。从我们检索结果中纳入的综述的参考文献列表中挑选其他综述文章。将检索策略和分析框架中定义的要素转换为数据提取工具,并通过从检索到的综述中提取数据进行测试。对提取的数据进行描述性分析。

结果

我们制定的12阶段综述方案包括问题定义、检索策略和检索词、测试策略、进行检索、根据找到的参考文献更新检索、去除重复项、定义纳入和排除标准、论文的排除和纳入、定义提取数据的分析框架、提取数据和报告结果。我们在15个电子书目数据库中的检索共获得27篇综述,其中14篇被纳入全文分析。其中,11篇关注医疗记录结构,3篇关注护理记录结构。数据结构包括表单、本体、分类和术语。发现了一些关于数据结构对信息质量、流程质量和效率影响的证据,但未发现对患者或专业人员影响的证据。

结论

12步综述方案产生了各种关于构建EHR数据不同方式的综述。它们均未比较不同构建方法的结果;所有综述对干预(特定的EHR结构)和结果(特定的影响类别)的定义都更狭窄。一些综述未明确数据结构(干预)与结果之间的联系,这表明构建患者数据的方法和应用很少被视为独立变量。综述方案应以允许重复综述的方式进行定义。存在不同的构建患者数据的方式,其影响各异,在进一步的实证研究以及综述中应加以区分。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验