首页 | 本学科首页   官方微博 | 高级检索  
     


SIMS REIN: a multi-source information system for end-stage renal disease
Authors:Landais Paul  Simonet Ana  Guillon Didier  Jacquelinet Christian  Ben Saïd Mohamed  Mugnier Claude  Simonet Michel
Affiliation:1. Laboratoire de biostatistique et d’informatique médicale (LBIM), université Paris-5, UFR Necker–Enfants-Malades, hôpital Necker, 149, rue de Sèvres, 75743 Paris cedex 15, France;2. Laboratoire des techniques de l’imagerie, de la modélisation et de la cognition (UJF–TIMC), CNRS UMR 5525, université Joseph-Fourier, BP 53X, 38041 Grenoble cedex, France;3. Établissement français des greffes, 5, rue Lacuée, 75012 Paris, France
Abstract:In France, the prevalence of End-Stage Renal Disease (ESRD) is not precisely known. The sources of information are scattered and not coordinated. Consequently, care is ill adapted to meet the demand. The Multi-Source Information System is the basis of the Renal Epidemiology and Information Network (REIN). It is dedicated to improve and organise our medical and epidemiological knowledge of ESRD and to aid public health decision-making in this area. The proposed approach is based on the datawarehouses. This model allows a unified vision of scattered data into distinct databases, for a better management, be it particular (patient follow-up) or global (regional follow-up), with a finality of aid in decision-making. Several categories of problems were considered: the global conception of the information system, the organisation of the datawarehouse, which offers different viewpoints of the data, the integration of heterogeneous data coming from different sources, data exchange and definition of a specific ontology.
Keywords:multi-sources information system  datawarehouse  end-stage renal disease  système d’information multi-sources  entrepôt de données  insuffisance rénale terminale
本文献已被 ScienceDirect PubMed 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号