Assistance publique-Hôpitaux de Paris (AP-HP) and the National Institute for Research in Digital Sciences and Technologies (Inria) announce the signing of a framework agreement. This 5-year collaboration aims to create a joint laboratory dedicated to connected health.
Led by Dominique Chapelle, research director at the Inria Saclay center, this structure will develop research projects and innovations combining the complementary skills of two organizations. This laboratory will also bring together universities in Ile-de-France and their faculties of medicine, pharmacy or odontology (the study of teeth).
Promote the transfer of techniques
In detail, this laboratory should promote the transfer of certain techniques resulting from research to exploration in hospitals, in biology, imaging, etc., or to the information systems of the AP-HP. It must also accelerate the dissemination of knowledge in an interdisciplinary framework and allow the skills of AP-HP research clinicians and Inria researchers dedicated to health to be improved.
Collaborations with start-ups and manufacturers should be set up for the development of devices useful for diagnosis, treatment, research on data and management of hospital activity, evaluation of innovations and their transfer to the economic world.
The data warehouse, at the center of projects
The AP-HP health data warehouse (EDS) is a very interesting tool for Inria researchers. This sort of gigantic database stores the medical information of about 11 million patients in the hospital group. The data is easily reusable since this EDS was validated in 2017 by the National Commission for Informatics and Freedoms (Cnil).
This new agreement is part of a long-standing collaboration between the hospital group and Inria. These relations were strengthened during the Covid-19 pandemic during which they developed research projects for the diagnosis and management of patients with SARS-CoV-2 as well as for the management of hospital activity.
Thus, the AP-HP and Inria have for example collaborated to refine the models for forecasting the influx of patients expected in Paris hospitals and in the rest of the territory, thanks to the data sets provided by SFR.