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

Author:

Ammour Nadir,Griffon Nicolas,Djadi-Prat JulietteORCID,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 ManonORCID,Daniel Christel

Abstract

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.

Funder

EIT Health

Publisher

BMJ

Reference27 articles.

1. Integrating clinical research with the healthcare enterprise: from the RE-USE project to the EHR4CR platform;El Fadly;J Biomed Inform,2011

2. Evaluative outcomes in direct extraction and use of EHR data in clinical trials;Nordo;Stud Health Technol Inform,2019

3. Food and Drug Administration (FDA) . Guidance for industry: electronic source data in clinical investigations. Rockville, MD FDA; 2013. Available: https://www.fda.gov/media/85183/download

4. Food and Drug Administration (FDA . Use of electronic health record data in clinical investigations guidance for industry. Rockville, MD FDA; 2018. Available: https://www.fda.gov/media/97567/download

5. European Commission . Commission recommendation on a European electronic health record exchange format (C(2019)800); 2019. Available: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32019H0243&rid=2

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