Abstract
For a long time, the usual research funding mechanisms in France limited the development of very large databases (funding too low or too short for example). Over the past decade, new measures provided unprecedented momentum in our country to structure large cohorts.
Due to their very broad scope, cohorts are one of the reference instruments for epidemiological and public health research. Cohorts also help to inform decision-making on risk prevention action, enhance the health system or patient care. For these reasons, the French Ministry of Research identified in 2008 cohort as research infrastructures. With this decision, the Ministry recognizes their usefulness for the public health research community, and more broadly for biomedical research. To fund this ambition, a call for proposal was launch in 2010 by the government as part of the ‘Investments for the Future >>. A dozen patient or general population cohorts are funded through this process, such as Constances, E4N or others.
The creation of the National Health Data System in 2017 also reinforces the strategic aspect of cohorts. This system is unique in Europe. He allows cohort data to be linked with data from health insurance, hospital data, causes of death, disability data and supplementary health insurance organizations. The challenge of artificial intelligence also follow the analysis of this data flow.
This model is part of a national strategy with several initiatives: joint coordination, shared services (France Cohortes), the France Médecine Génomique plan and the Health Data Hub, as well as the recently announced launch of 4 Institutes for Artificial Intelligence, three out of them having exploitation of health data at the heart of their development strategy. The objective of this intervention will be to present this french integrated model, and mechanisms developed, in terms of tools, resources or staff, at the service of cohorts and researchers.