How to Make Outpatient Healthcare Data in Germany Available for Research in the Dynamic Course of Digital Transformation.

Q3 Health Professions Studies in Health Technology and Informatics Pub Date : 2023-09-12 DOI:10.3233/SHTI230688
Marius Koch, Jendrik Richter, Johannes Hauswaldt, Dagmar Krefting
{"title":"How to Make Outpatient Healthcare Data in Germany Available for Research in the Dynamic Course of Digital Transformation.","authors":"Marius Koch,&nbsp;Jendrik Richter,&nbsp;Johannes Hauswaldt,&nbsp;Dagmar Krefting","doi":"10.3233/SHTI230688","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>There is increasing interest on re-use of outpatient healthcare data for research, as most medical diagnosis and treatment is provided in the ambulatory sector. One of the early projects to bring primary data from German ambulatory care into clinical research technically, organizationally and in compliance with legal demands has been the RADAR project, that is based on a broad consent and has used the then available practice information system's interfaces to extract and transfer data to a research repository. In course of the digital transformation of the German healthcare system, former standards are abandoned and new interoperability standards, interfaces and regulations on secondary use of patient data are defined, however with slow adoption by Health-IT systems. Therefore, it is of importance for all initiatives that aim at using ambulatory healthcare data for research, how to access this data in an efficient and effective way.</p><p><strong>Methods: </strong>Currently defined healthcare standards are compared regarding coverage of data relevant for research as defined by the RADAR project. We compare four architectural options to access ambulatory health data through different components of healthcare and health research data infrastructures along the technical, organizational and regulatory conditions, the timetable of dissemination and the researcher's perspective.</p><p><strong>Results: </strong>A high-level comparison showed a high degree of semantic overlap in the information models used. Electronic patient records and practice information systems are alternative data sources for ambulatory health data - but differ strongly in data richness and accessibility.</p><p><strong>Conclusion: </strong>Considering the compared dimensions of architectural routes to access health data for secondary research use we conclude that data extraction from practice information systems is currently the most promising way due to data availability on a mid-term perspective. Integration of routine data into the national research data infrastructures might be enforced by convergence of to date different information models.</p>","PeriodicalId":39242,"journal":{"name":"Studies in Health Technology and Informatics","volume":"307 ","pages":"12-21"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies in Health Technology and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/SHTI230688","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Health Professions","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction: There is increasing interest on re-use of outpatient healthcare data for research, as most medical diagnosis and treatment is provided in the ambulatory sector. One of the early projects to bring primary data from German ambulatory care into clinical research technically, organizationally and in compliance with legal demands has been the RADAR project, that is based on a broad consent and has used the then available practice information system's interfaces to extract and transfer data to a research repository. In course of the digital transformation of the German healthcare system, former standards are abandoned and new interoperability standards, interfaces and regulations on secondary use of patient data are defined, however with slow adoption by Health-IT systems. Therefore, it is of importance for all initiatives that aim at using ambulatory healthcare data for research, how to access this data in an efficient and effective way.

Methods: Currently defined healthcare standards are compared regarding coverage of data relevant for research as defined by the RADAR project. We compare four architectural options to access ambulatory health data through different components of healthcare and health research data infrastructures along the technical, organizational and regulatory conditions, the timetable of dissemination and the researcher's perspective.

Results: A high-level comparison showed a high degree of semantic overlap in the information models used. Electronic patient records and practice information systems are alternative data sources for ambulatory health data - but differ strongly in data richness and accessibility.

Conclusion: Considering the compared dimensions of architectural routes to access health data for secondary research use we conclude that data extraction from practice information systems is currently the most promising way due to data availability on a mid-term perspective. Integration of routine data into the national research data infrastructures might be enforced by convergence of to date different information models.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
如何在数字化转型的动态过程中使德国的门诊医疗数据可用于研究。
引言:由于大多数医疗诊断和治疗是在门诊部门提供的,因此对门诊医疗数据的再利用研究越来越感兴趣。RADAR项目是将德国门诊护理的原始数据从技术上、组织上和符合法律要求引入临床研究的早期项目之一,该项目基于广泛的同意,并使用当时可用的实践信息系统接口提取数据并将数据传输到研究存储库。在德国医疗保健系统的数字化转型过程中,放弃了以前的标准,并定义了新的互操作性标准、接口和患者数据二次使用的法规,但卫生it系统采用的速度很慢。因此,对于旨在使用门诊医疗数据进行研究的所有举措,如何以高效和有效的方式访问这些数据非常重要。方法:比较当前定义的医疗保健标准对RADAR项目定义的研究相关数据的覆盖范围。我们通过医疗保健和健康研究数据基础设施的不同组成部分,沿着技术、组织和监管条件、传播时间表和研究人员的观点,比较了四种架构选项来访问门诊健康数据。结果:高水平的比较表明,在使用的信息模型中存在高度的语义重叠。电子病历和实践信息系统是门诊健康数据的替代数据源,但在数据丰富性和可访问性方面存在很大差异。结论:考虑到为二次研究使用访问卫生数据的建筑路线的比较维度,我们得出结论,由于中期角度的数据可用性,从实践信息系统中提取数据是目前最有希望的方法。将常规数据整合到国家研究数据基础设施中,可以通过汇集迄今为止不同的信息模型来实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Studies in Health Technology and Informatics
Studies in Health Technology and Informatics Health Professions-Health Information Management
CiteScore
1.20
自引率
0.00%
发文量
1463
期刊介绍: This book series was started in 1990 to promote research conducted under the auspices of the EC programmes’ Advanced Informatics in Medicine (AIM) and Biomedical and Health Research (BHR) bioengineering branch. A driving aspect of international health informatics is that telecommunication technology, rehabilitative technology, intelligent home technology and many other components are moving together and form one integrated world of information and communication media.
期刊最新文献
Virtual Reality Assessment Reveals Myopic Regression After ICL Implantation in High Myopia. Construction of Guideline-Based Decision Tree for Medication Recommendation. Systemic Risk Management Plan for Electronic Medical Records (EMR): Why and How? Mental Health Patient Portals Aimed at Depression: A Picture Close to Reality. Mettertron - Bridging Metadata Repositories and Terminology Servers.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1