Methods Inf Med 2014; 53(04): 264-268
DOI: 10.3414/ME13-01-0134
Original Articles
Schattauer GmbH

Piloting the EHR4CR Feasibility Platform across Europe[*]

on behalf of Work Package 7
J. Doods
1   University of Münster, Münster, Germany
,
R. Bache
2   Department of Informatics, School of Natural and Mathematical Sciences, King’s College London, London, UK
3   Department of Primary Care and Public Health Sciences, King’s College London, London, UK
,
M. McGilchrist
4   Health Informatics Centre, University of Dundee, Dundee, UK
,
C. Daniel
5   INSERM, UMR_S 1142, LIMICS, Paris, France; Sorbonne Universités, UPMC Univ Paris 06, France
6   CCS SI Patient, AP-HP, Paris, France
,
M. Dugas
1   University of Münster, Münster, Germany
,
F. Fritz
1   University of Münster, Münster, Germany
› Author Affiliations
Further Information

Publication History

received:01 December 2013

accepted:26 May 2014

Publication Date:
20 January 2018 (online)

Summary

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. 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.

* Supplementary material published on our website www.methods-online.com


 
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