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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.
Afiliación
  • Ammour N; Clinical Innovation Office, Sanofi SA Recherche & Developpement, Paris, France nadir.ammour@sanofi.com.
  • Griffon N; DSI-WIND, Assistance Publique - Hopitaux de Paris, Paris, France.
  • Djadi-Prat J; LIMICS, INSERM U1142, Paris, France.
  • Chatellier G; Unité de Recherche Clinique, AP-HP, Hôpital Européen Georges Pompidou, Paris, France.
  • Lewi M; Unité de Recherche Clinique, Assistance Publique - Hopitaux de Paris, Paris, France.
  • Todorovic M; Université de Paris, Paris, France.
  • Gómez de la Cámara A; Janssen Pharmaceutica NV, Beerse, Belgium.
  • García Morales MT; Janssen Pharmaceutica NV, Beerse, Belgium.
  • Testoni S; Instituto de Investigacion, Hospital 12 de Octubre, Madrid, Spain.
  • Nanni O; Instituto de Investigacion, Hospital 12 de Octubre, Madrid, Spain.
  • Schindler C; Biostatistics and Clinical Trials, IRCCS Istituto Romagnolo per lo Studio dei Tumori Dino Amadori, Meldola, Italy.
  • Sundgren M; Biostatistics and Clinical Trials, IRCCS Istituto Romagnolo per lo Studio dei Tumori Dino Amadori, Meldola, Italy.
  • Garvey A; Medizinische Hochschule Hannover, Hannover, Germany.
  • Victor T; Data sciences AI, Biopharmaceuticals RD, AstraZeneca FoU Göteborg, Goteborg, Sweden.
  • Cariou M; ICON plc, Dublin, Ireland.
  • Daniel C; ICON plc, Dublin, Ireland.
BMJ Health Care Inform ; 30(1)2023 Jun.
Article en En | MEDLINE | ID: mdl-37316249
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Tecnología / Registros Electrónicos de Salud Tipo de estudio: Clinical_trials / Guideline / Observational_studies Límite: Humans País/Región como asunto: America do norte / Europa Idioma: En Revista: BMJ Health Care Inform Año: 2023 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Tecnología / Registros Electrónicos de Salud Tipo de estudio: Clinical_trials / Guideline / Observational_studies Límite: Humans País/Región como asunto: America do norte / Europa Idioma: En Revista: BMJ Health Care Inform Año: 2023 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Reino Unido