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[The REDSIAM network]. / Le réseau REDSIAM (Réseau données Sniiram) ­ Spécial REDSIAM.
Goldberg, M; Carton, M; Doussin, A; Fagot-Campagna, A; Heyndrickx, E; Lemaitre, M; Nicolau, J; Quantin, C.
Afiliação
  • Goldberg M; Unité cohortes épidémiologiques en population, UMS 11 Inserm, université René-Descartes, 94800 Villejuif, France. Electronic address: marcel.goldberg@inserm.fr.
  • Carton M; Unité cohortes épidémiologiques en population, UMS 11 Inserm, université René-Descartes, 94800 Villejuif, France.
  • Doussin A; Santé publique France, 94410 Saint-Maurice, France.
  • Fagot-Campagna A; CnamTS, direction de la stratégie, des études et des statistiques, département d'études sur les pathologies et les patients, 75020 Paris, France.
  • Heyndrickx E; Unité cohortes épidémiologiques en population, UMS 11 Inserm, université René-Descartes, 94800 Villejuif, France.
  • Lemaitre M; Agence nationale de sécurité des médicaments et des produits de santé, 93200 Saint-Denis, France.
  • Nicolau J; Santé publique France, 94410 Saint-Maurice, France.
  • Quantin C; Service de biostatistiques et d'information médicale (DIM), université de Bourgogne Franche-Comté, CHRU de Dijon, 21000 Dijon, France; Inserm, CIC 1432, clinical investigation center, clinical epidemiology/clinical trials unit, Dijon university hospital, 21000 Dijon, France; Biostatistics, biomathem
Rev Epidemiol Sante Publique ; 65 Suppl 4: S144-S148, 2017 Oct.
Article em Fr | MEDLINE | ID: mdl-28844426
The French national health database (SNIIRAM) proved to be very useful for epidemiology, health economics, evaluation, surveillance or public health. However, it is a complex database requiring important resources and expertise for being used. The REDSIAM network has been set up for promoting the collaboration of teams working on the Sniiram. The main aim of REDSIAM is to develop and validate methods for analyzing the Sniiram database for research, surveillance, evaluation and public health purposes by sharing the knowledge and experience of specialized teams in the fields of diseases identification from the Sniiram data. The work conducted within the network is devoted to the development and the validation of algorithms using Sniiram data for identifying specific diseases. The REDSIAM governance includes the Steering Committee composed of the main organizations in charge of producing and using the Sniiram data, the Bureau and the Technical Committee. The network is organized in thematic working groups focused on specific pathological domains, and a charter defines the rules for participation in the network, the functioning of the thematic working groups, the rules for publishing and making available algorithms. The articles in this special issue of the journal present the first results of some of the thematic working groups.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bases de Dados Factuais / Serviços de Informação / Programas Nacionais de Saúde Tipo de estudo: Evaluation_studies / Observational_studies / Prognostic_studies / Screening_studies Limite: Humans País/Região como assunto: Europa Idioma: Fr Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bases de Dados Factuais / Serviços de Informação / Programas Nacionais de Saúde Tipo de estudo: Evaluation_studies / Observational_studies / Prognostic_studies / Screening_studies Limite: Humans País/Região como assunto: Europa Idioma: Fr Ano de publicação: 2017 Tipo de documento: Article