The French national health data system... 

a real world!

  • Actionable

  • Agile 

  • In-house expertise


The national healthcare system claims databases (SNDS) in France connect data and reality

Make your SNDS projects real (and fast) with Sanoïa's portfolio of services.


(Échantillon Généraliste de Bénéficiaires, in French) 

Explore, estimate trends, or build artefacts(*) for later use

  • 1/97th random  permanent sample 

  • 20 years depth

  • Fast instruction cycle(**)

  • All variables accessible

(*) Artefacts might be insights to provide statistical or rational elements of a whole French population project protocol; e.g. even developing a proxy algorithm.

(**) Sanoïa is the first private company in France to have successfully proceed to the EGB simplified access process (only 2 weeks instead of usually up to 6 months).


Obtain strong insights from a world-class database

  • Whole French population

  • 5 years depth

  • 4 months regulatory

  • Scope limited upon justified protocol requests

hybrid e-cohortS

Combine various data sources to empower your trial data

  • Enhance available information

  • Go beyond classical follow-up

  • Adjust included population

SNDS: National Health Data System

The French national health data system is based on universal coverage by one of several health care insurance schemes. The SNDS database merges anonymous information of reimbursed claims from all these schemes (DCIR), linked to the national hospital discharge summaries database system (PMSI) and the national death registry (CepiDC). 

It now covers 98.8% of the French population, over 66 million persons, from birth (or immigration) to death (or emigration), making it probably the world's largest continuous homogeneous claims database.

The database includes demographic data; health care encounters such as physician or paramedical visits, medicines, medical devices, procedures, and laboratory tests (without results); chronic condition (ICD10 codes); hospitalisations with ICD10 codes for primary, linked and associated diagnoses, date and duration, diagnostic-related groups, and cost coding; and date and cause of death.


It is open to private company driven analyses since mid 2017. Pharmaceutical companies cannot use the data directly and have to access via an intermediary (approved company)

Projects using these databases have to justify a public interest. Investigators commit themselves to making the results public and to disclose them in the form of publications.


  • Independent Research Agency
    since November 2017(*)

  • Member of the French Clinical Research Association, real world data group

  • REDSIAM member 

(*)  Right to conduct data analysis projects for companies producing medicines. ​(n° RERC171027)


Sanoïa's in-house expertise is lead by a national healthcare database specialist

Guillaume DESJEUX, M.D. who is a 

  • Former military physician, public health specialist, with

  • 20 years of experience in different workplaces using health databases for epidemiologic, economic and control purposes.

(browse Guillaume's publications)



  • Lajoinie, A., Bennani, M., Bouée, S., Desjeux, G., Haran, P., Lemaitre, M., Leutenegger, E., Malouvier, A., Méchin, H., Meilhoc, A., Mistretta, F., Pinchinat, S., Vainchtock, A., Edel, V., Serre. J. (2018). Secondary use of existing personal health data for non-interventional studies in France. Value in Health, 21(3), 373.

  • Silvestri, F., Desjeux, G., Servy, H., Molinier, S. (2018). Étude des prescriptions par l’analyse de données du Système national des données de santé (SNDS) : le non-renouvellement de la prescription des inhibiteurs de la pompe à proton à l’hôpital d’instruction des Armées (HIA) Laveran. Revue d’Épidémiologie et de Santé Publique, 66(4), 211.

  • Fonteneau, L., Le Meur, N., Cohen-Akenine, A., Pessel, C., Brouard, C., Delon, F., Desjeux, G., Durand, J., Kirchgesner, J., Lapidus, N., Lemaitre, M,. Tala, S., Thiébaut, A., Watier, L., Rudant, J., Guillon-Grammatico, L. (2017). Apport des bases médico-administratives en épidémiologie et santé publique des maladies infectieuses. Revue d'Épidémiologie et de Santé Publique, 65(4), 174-182.

  • Delon, F., Mayet, A., Thellier, M., Kendjo, E., Michel, R., Ollivier, L., Chatellier, G., and Desjeux, G. (2017). Assessment of the French National Health Insurance Information System as a Tool for Epidemiological Surveillance of Malaria. Journal of the American Medical Informatics Association: JAMIA, 24(3), 588–595.​

  • Delon, F., Thellier, M., Mayet, A., Ollivier, L., Chatellier, G., Desjeux, G. (2016). Détermination de l’incidence du paludisme en France à partir des données du Sniiram-PMSI. Revue d’Épidémiologie et de Santé Publique, 64(1), 25. 


  • Lorenzi-Martinez, E., Desjeux, G., Marsan, P., Thevenin-Garron, V. (2013). Incidence des ALD 30 chez les militaires d'active entre 2005 et 2011. Santé publique5(25), 599-607.

  • Ressort, T., Desjeux, G., Marsan, P., Thevenin-Garron, V. (2013). Les affections en service liées aux sports chez les militaires français. Santé publique, 3(25), 263-270.

  • d’Argouges, F., Desjeux, G., Marsan, P., Thevenin-Garron, V. (2012). Remboursement des médicaments de substitution aux opiacés chez les militaires en 2007. L'Encéphale, 38(4), 304-309.

  • Drouet, A., Desjeux, G., Balaire, C., Thevenin-Garron, V.  (2010). Sclérose latérale amyotrophique (SLA) chez les militaires français : enquête rétrospective. Revue Neurologique, 166(6-7):621-629.

  • Desjeux, G., Balaire, C., Thevenin-Garron, V. (2009). La consommation d’antibiotique en 2007 chez les militaires d’active. Ann Pharm Fr., 67(4), 278-283.

  • Desjeux, G., Aspar, A.M., Colonna d’Istria, C., Raude, D., Birioukoff, M., Balaire, C., Codaccioni, A., Thevenin-Garron, V. (2009). Consommation de médicaments psychotropes chez les militaires d’active en 2005. L'Encéphale, 35(3), 249-255.

  • Desjeux, G., Matton, T., Galoisy-Guibal, L. (2004). Utilisation du PMSI à des fins épidémiologiques dans les armées. Médecine et Armées, 32, 353-359.


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(French Clinical Research Association)

Sanoïa is an agile Contract Research Organization for tailor-made Real-Life studies.