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L'X and CNAM join forces to study health data

L'X and the National Health Insurance Fund (CNAM) have renewed their research and development partnership in data sciences. This collaboration, which began at the end of 2014, has already led to new approaches of the Sniiram data use, the health database that compiles all healthcare reimbursement data in France.

The data is the new black gold and the field of health is not an exception to the rule. According to Nicolas Garcelon, head of the Data Science platform of the Imagine Institute in Paris, a hospital could produce 10 gigabytes of data per year, or 20,000 times the novel of Stendhal The Red and the Black. Yet, these data are still too often underused.

Created at the end of 2014 and renewed in February 2018 for a period of three years, the partnership between École Polytechnique and the National Health Insurance Fund aims to develop different types of algorithms for the treatment of data, in particular, to automate the detection of drugs with harmful or even serious side effects and thus enable the health authorities to base their decisions on scientifically proven facts.

During the first three years of collaboration, Emmanuel Bacry, head of the Data Science initiative at École Polytechnique, and his team from the Center for Applied Mathematics of l'X succeeded in proving the effectiveness of their approach to detect weak signals in the huge data volume of Sniiram, the national inter-scheme health insurance information system.