GINSENG : une grille dédiée à l'e-santé et l'épidémiologie

Emerging challenge concerning public health statistics is the ability to provide real time information on population health. It is especially relevant in case of emergency scenarios: pollution through toxic gas emission or radioactivity, heat waves, pandemic flu viruses. The daily improvement of care practice can also benefit of any real time information on patients hosted in medical structures. To face this problematic, the french GINSENG project uses the european grid technology to create a sentinel network for e-health and epidemiology. This distributed network architecture offers many advantages: * Medical data banks from each hospital or labs can be interrogated directly without centralizing any information * Such architecture is then really cost effective. * Statistical studies will be soon available in real time through a web interface accessible by the medical staff. While patient data consistency can mainly be achieved by working on medical databases standardization, patient identification and medical data linkage mechanisms are performed dynamically through the grid network. Authentication and data encryption are ensured by healthcare professional smartcards containing an X509 grid-compatible certificate delivered by a trusted certification authority. The GINSENG project focuses on two fields: cancer surveillance and perinatal health

GINSENG (Global Initiative for Sentinel E-health Network on Grid)

The GINSENG (Global Initiative for Sentinel E-health Network on Grid) project aims to implement a grid infrastructure for ehealthand epidemiology in Auvergne. A distributed medical database is created upon a secure network for epidemiologicalstudies. Our goal is to create a decentralized information system using grid technologies. The medical sites involved in theproject are clustered around two themes: cancer monitoring and perinatal care. On each medical site a server whichduplicates the medical database, is deployed with grid services. At the same time, full control of the information is kept by theorganizations storing patients' files. This solution allows for a high level of security, privacy, availability, and fault tolerance.Queries made on the distributed medical databases are made via a secure web portal. Public health authorities use thisinfrastructure for health monitoring, epidemiological studies and evaluation of specific medical practices

ASCI-mi (une méthodologie de modélisation multiple et incrémentielle, Application aux systèmes de trafic urbain)

CLERMONT FD-BCIU Sci.et Tech. (630142101) / SudocSudocFranceF

Une méthodologie de modélisation multiple et incrémentale pour la simulation : Application aux systèmes de trafic urbain

International audienc

Urban Traffic Systems Information System Modelling Methodology

International audienc

Eight Years Using Grids for Life Sciences

PCS