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TransFAIR study: a European multicentre experimental comparison of EHR2EDC technology to the usual manual method for eCRF data collection
PURPOSE: Regulatory 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 El...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10277109/ https://www.ncbi.nlm.nih.gov/pubmed/37316249 http://dx.doi.org/10.1136/bmjhci-2022-100602 |
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author | 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 |
author_facet | 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 |
author_sort | Ammour, Nadir |
collection | PubMed |
description | PURPOSE: Regulatory 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. METHODS: A 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). RESULTS: Overall, 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%. CONCLUSIONS: The 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. |
format | Online Article Text |
id | pubmed-10277109 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-102771092023-06-19 TransFAIR study: a European multicentre experimental comparison of EHR2EDC technology to the usual manual method for eCRF data collection 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 BMJ Health Care Inform Original Research PURPOSE: Regulatory 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. METHODS: A 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). RESULTS: Overall, 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%. CONCLUSIONS: The 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. BMJ Publishing Group 2023-06-14 /pmc/articles/PMC10277109/ /pubmed/37316249 http://dx.doi.org/10.1136/bmjhci-2022-100602 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Research 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 TransFAIR study: a European multicentre experimental comparison of EHR2EDC technology to the usual manual method for eCRF data collection |
title | TransFAIR study: a European multicentre experimental comparison of EHR2EDC technology to the usual manual method for eCRF data collection |
title_full | TransFAIR study: a European multicentre experimental comparison of EHR2EDC technology to the usual manual method for eCRF data collection |
title_fullStr | TransFAIR study: a European multicentre experimental comparison of EHR2EDC technology to the usual manual method for eCRF data collection |
title_full_unstemmed | TransFAIR study: a European multicentre experimental comparison of EHR2EDC technology to the usual manual method for eCRF data collection |
title_short | TransFAIR study: a European multicentre experimental comparison of EHR2EDC technology to the usual manual method for eCRF data collection |
title_sort | transfair study: a european multicentre experimental comparison of ehr2edc technology to the usual manual method for ecrf data collection |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10277109/ https://www.ncbi.nlm.nih.gov/pubmed/37316249 http://dx.doi.org/10.1136/bmjhci-2022-100602 |
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