LIMICS(Laboratoire d'Informatique Médicale et d'Ingénieurie des Connaissances en e-Santé)
LIMICS is a research unit (UMRS 1142) financed by Inserm (The French National Institute of Health and Medical Research), the « Pierre and Marie Curie » University and the « Paris 13 » University.
The lab includes about 50 members including physicians, pharmacists and computer scientists. It was created on January 1st, 2014 and results from the merge of two teams: ICS (Knowledge Engineering in Health), U729 and U872 - EQ20 Research Centre des Cordeliers from 2002 to 2013 and the LIM&BIO (Lab Medical Informatics and Bioinformatics) at University Paris 13 (EA 3969) from 2002 to 2013. Lab members are located on two main sites, the Cordeliers campus of Paris 6 University (75006) and the Bobigny campus of Paris 13 University (93000).
The LIMICS (Laboratory in Medical Informatics and Knowledge Engineering in e-Health) performs multidisciplinary research in computer science and e-Health. It offers innovative approaches to biomedical information processing at both methodological and application levels for various categories of stakeholders:
- Health professionals who must have structured and sharable computerized records, new decision support systems to improve the diagnosis and treatment of patients, novel IT tools to access medical knowledge and training facilities.
- Researchers in life sciences (basic, clinical or epidemiological) that must have tools to manage registries and cohorts, such as data integration and knowledge platforms, facilitating the treatment of complex medical data from heterogeneous information systems.
- Citizens who are the primary beneficiaries of e-Health applications and must have IT tools to access knowledge and to improve their own care, particularly in the context of chronic diseases.
These research activities are related to the disciplines of knowledge and models engineering, decision support systems, translational bioinformatics and clinical research informatics. They aim to:
- Propose original methods for building and evaluating health semantic resources (information models , ontologies, terminologies) .
- Develop alignment and semantic annotation tools (browsers, tools for developing semantic queries , etc.) in order to facilitate interoperability between health information systems.
- Participate to the development of new international standards such as ICD- 11 and contribute to the update of existing standards (DICOM, HL7, IHTSDO, etc.).
- Improve the modelling and coding of information in electronic medical records (including complex data such as images or "omics" data) in order to facilitate the use of these data for care or research.
- Build semantic data warehouses to facilitate the emergence of new knowledge in healthcare.