TransFAIR study: a European multicentre experimental comparison of EHR2EDC technology to the usual manual method for eCRF data collection

TransFAIR study: a European multicentre experimental comparison of EHR2EDC technology to the usual manual method for eCRF data collection

PurposeRegulatory authorities including the Food and Drug Administration and the European Medicines Agency are encouraging to conduct clinical trials using routinely collected data. The aim of the TransFAIR experimental comparison was to evaluate, within real-life conditions, the ability of the Elec...

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Bibliographic Details
Published in:BMJ health & care informatics Vol. 30; no. 1; p. e100602
Main Authors: Ammour, Nadir, Griffon, Nicolas, Djadi-Prat, Juliette, Chatellier, Gilles, Lewi, Martine, Todorovic, Marija, Gómez de la Cámara, Augustín, García Morales, Maria Teresa, Testoni, Sara, Nanni, Oriana, Schindler, Christoph, Sundgren, Mats, Garvey, Almenia, Victor, Tomothy, Cariou, Manon, Daniel, Christel
Format: Journal Article
Language:English
Published: England BMJ Publishing Group Ltd 01-06-2023
BMJ Publishing Group LTD
BMJ Publishing Group
Subjects:
Clinical trials
Consortia
Data Collection
Data Management
Electronic Health Records
Europe
Health Information Interoperability
Hospitals
Humans
Innovations
Interoperability
Medical Informatics
Original Research
Pharmaceutical industry
Prospective Studies
Technology
United States
United States
Europe
Health Information Interoperability
Medical Informatics
Electronic Health Records
Data Management
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Summary:PurposeRegulatory authorities including the Food and Drug Administration and the European Medicines Agency are encouraging to conduct clinical trials using routinely collected data. The aim of the TransFAIR experimental comparison was to evaluate, within real-life conditions, the ability of the Electronic Health Records to Electronic Data Capture (EHR2EDC) module to accurately transfer from EHRs to EDC systems patients’ data of clinical studies in various therapeutic areas.MethodsA prospective study including six clinical trials from three different sponsors running in three hospitals across Europe has been conducted. The same data from the six studies were collected using both traditional manual data entry and the EHR2EDC module. The outcome variable was the percentage of data accurately transferred using the EHR2EDC technology. This percentage was calculated considering all collected data and the data in four domains: demographics (DM), vital signs (VS), laboratories (LB) and concomitant medications (CM).ResultsOverall, 6143 data points (39.6% of the data in the scope of the TransFAIR study and 16.9% when considering all data) were accurately transferred using the platform. LB data represented 65.4% of the data transferred; VS data, 30.8%; DM data, 0.7% and CM data, 3.1%.ConclusionsThe objective of accurately transferring at least 15% of the manually entered trial datapoints using the EHR2EDC module was achieved. Collaboration and codesign by hospitals, industry, technology company, supported by the Institute of Innovation through Health Data was a success factor in accomplishing these results. Further work should focus on the harmonisation of data standards and improved interoperability to extend the scope of transferable EHR data.
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ISSN:2632-1009
2632-1009
DOI:10.1136/bmjhci-2022-100602