Piloting the EHR4CR Feasibility Platform across Europe

被引:20
作者
Doods, J. [1 ]
Bache, R. [2 ,3 ]
McGilchrist, M. [4 ]
Daniel, C. [5 ,6 ,7 ]
Dugas, M. [1 ]
Fritz, F. [1 ]
机构
[1] Univ Munster, D-48149 Munster, Germany
[2] Kings Coll London, Sch Nat & Math Sci, Dept Informat, London, England
[3] Kings Coll London, Dept Primary Care & Publ Hlth Sci, London, England
[4] Univ Dundee, Hlth Informat Ctr, Dundee, Scotland
[5] INSERM, UMR S 1142, LIMICS, Paris, France
[6] Sorbonne Univ, Univ Paris 06, F-75230 Paris 05, France
[7] AP HP, Paris, France
关键词
Protocol feasibility; clinical trials; electronic health records; secondary use; clinical research; CLINICAL-RESEARCH; RECRUITMENT; RECORD;
D O I
10.3414/ME13-01-0134
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Background: Pharmaceutical clinical trials are primarily conducted across many countries, yet recruitment numbers are frequently not met in time. Electronic health records store large amounts of potentially useful data that could aid in this process. The EHR4CR project aims at re-using EHR data for clinical research purposes. Objective: To evaluate whether the protocol feasibility platform produced by the Electronic Health Records for Clinical Research (EHR4CR) project can be installed and set up in accordance with local technical and governance requirements to execute protocol feasibility queries uniformly across national borders. Methods: We installed specifically engineered software and warehouses at local sites. Approvals for data access and usage of the platform were acquired and terminology mapping of local site codes to central platform codes were performed h A test data set, or real EHR data where approvals were in place, were loaded into data warehouses. Test feasibility queries were created on a central component of the platform and sent to the local components at eleven university hospitals. Results: To use real, de-identified EHR data we obtained permissions and approvals from 'data controllers' and ethics committees. Through the platform we were able to create feasibility queries, distribute them to eleven university hospitals and retrieve aggregated patient counts of both test data and de-identified EHR data. Conclusion: It is possible to install a uniform piece of software in different university hospitals in five European countries and configure it to the requirements of the local networks, while complying with local data protection regulations. We were also able set up ETL processes and data warehouses, to reuse EHR data for feasibility queries distributed over the EHR4CR platform.
引用
收藏
页码:264 / 268
页数:5
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