Consore: A Powerful Federated Data Mining Tool Driving a French Research Network to Accelerate Cancer Research

Julien Guérin (), Amine Nahid, Louis Tassy, Marc Deloger, François Bocquet, Simon Thézenas, Emmanuel Desandes, Marie-Cécile Le Deley, Xavier Durando, Anne Jaffré, Ikram Es-Saad, Hugo Crochet, Marie Le Morvan, François Lion, Judith Raimbourg, Oussama Khay, Franck Craynest, Alexia Giro, Yec’han Laizet, Aurélie Bertaut, Frederik Joly, Alain Livartowski and Pierre Heudel
Additional contact information
Julien Guérin: Institut Curie, 75005 Paris, France
Amine Nahid: Coexya, 69370 Saint-Didier-au-Mont-d’Or, France
Louis Tassy: Institut Paoli-Calmettes, 13009 Marseille, France
Marc Deloger: Gustave Roussy, 94805 Villejuif, France
François Bocquet: Data Factory & Analytics Department, Institut de Cancérologie de l’Ouest, 44805 Nantes-Angers, France
Simon Thézenas: Institut Régional du Cancer de Montpellier, 34090 Montpellier, France
Emmanuel Desandes: Institut de Cancérologie de Lorraine, 54519 Nancy, France
Marie-Cécile Le Deley: Centre Oscar Lambret, 59000 Lille, France
Xavier Durando: Centre Jean Perrin, 63011 Clermont Ferrand, France
Anne Jaffré: Institut Bergonié, 33076 Bordeaux, France
Ikram Es-Saad: Centre Georges Francois Leclerc, 21000 Dijon, France
Hugo Crochet: Centre Léon Bérard, 69008 Lyon, France
Marie Le Morvan: Institut Paoli-Calmettes, 13009 Marseille, France
François Lion: Gustave Roussy, 94805 Villejuif, France
Judith Raimbourg: Data Factory & Analytics Department, Institut de Cancérologie de l’Ouest, 44805 Nantes-Angers, France
Oussama Khay: Institut de Cancérologie de Lorraine, 54519 Nancy, France
Franck Craynest: Centre Oscar Lambret, 59000 Lille, France
Alexia Giro: Centre Jean Perrin, 63011 Clermont Ferrand, France
Yec’han Laizet: Institut Bergonié, 33076 Bordeaux, France
Aurélie Bertaut: Centre Georges Francois Leclerc, 21000 Dijon, France
Frederik Joly: Coexya, 69370 Saint-Didier-au-Mont-d’Or, France
Alain Livartowski: Institut Curie, 75005 Paris, France
Pierre Heudel: Centre Léon Bérard, 69008 Lyon, France

IJERPH, 2024, vol. 21, issue 2, 1-13

Abstract: Background: Real-world data (RWD) related to the health status and care of cancer patients reflect the ongoing medical practice, and their analysis yields essential real-world evidence. Advanced information technologies are vital for their collection, qualification, and reuse in research projects. Methods: UNICANCER, the French federation of comprehensive cancer centres, has innovated a unique research network: Consore. This potent federated tool enables the analysis of data from millions of cancer patients across eleven French hospitals. Results: Currently operational within eleven French cancer centres, Consore employs natural language processing to structure the therapeutic management data of approximately 1.3 million cancer patients. These data originate from their electronic medical records, encompassing about 65 million medical records. Thanks to the structured data, which are harmonized within a common data model, and its federated search tool, Consore can create patient cohorts based on patient or tumor characteristics, and treatment modalities. This ability to derive larger cohorts is particularly attractive when studying rare cancers. Conclusions: Consore serves as a tremendous data mining instrument that propels French cancer centres into the big data era. With its federated technical architecture and unique shared data model, Consore facilitates compliance with regulations and acceleration of cancer research projects.

Keywords: cancer research; cancer; natural language processing; data mining; data warehouse; big data (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2024
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