Electronic Medical Record (EMR) contains information data that are crucial for biomedical research studies. In the recent years there has an exponential increase of scientific publications about using textual processing of medical data in fields as diverse as medical decision support, epidemiological studies or data and semantic mining. The ALADIN project (ANR TecSan - n° ANR-08-TECS-001),) demonstrated the feasibility and good performances of this type of approach via the development of a semantic analysis tool to detect Hospital Acquired Infections. This project has also highlighted some scientific and technological challenges that SYNODOS will address. The project SYNODOS brings together two academic structures, one expert in medical terminology (CISMeF) and the other in the field of epidemiology (LBBE) and two industrial, one specializing in software development and language resources (CELI ) and the other in the integration of business intelligence solutions and web technologies (VISEO). The purpose of our project is to develop a generic solution for extracting semantics out of medical data and organize this medical information in such a way that it could be used to support epidemiological studies or medical decisions. The genericity of the resulting solution will be supported by the fact that medical staff will be able to write their own expert rules independently of their domain of specialties; The project will also evaluate the quality of extracted information in the context of epidemiological studies. System performance will be evaluated in two domains: hospital acquired Infections and cancer. . From a technological standpoint, project objectives are: development of fine grained linguistic rules to extract temporal expressions, interface between the semantic analyzer and multi-terminology server upstream during the extraction phase as well as interface between linguistic engine and knowledge representation. For the generation of expert system rules, Synodos proposes a general modular architecture that makes a clear distinction between linguistic rules and expert systems rules allowing the medical user to generate its own decision rule and enabling semantic queries on information extracted. Project outcomes will be an operational system integrating the various technological modules described above.