INSERM – LIMICS 

The INSERM LIMICS Team is a public research team of the French National Institute for Health and Medical Research (INSERM), referenced as UMR_S 1142, and is also affiliated to the universities “Paris Nord” and “Pierre et Marie Curie”). Led by Marie- Christine Jaulent, research director at INSERM, the LIMICS lab is specialized in medical informatics and knowledge engineering for e-health, mainly in the fields of 1) terminologies and ontologies in healthcare, 2) semantic Electronic Healthcare Reports (bindings of terminology and data structures), 3) semantic mediation and integration, 4) clinical data warehouses and information quality, 5) decision support systems including case-based reasoning approaches, and 6) public health systems for surveillance and epidemiology.

The current synthesis of the group consists of 29 professors and full-time researchers, 10 post-doc and engineers and 9 PhD candidates. It constitutes a multi-disciplinary team of Computer Scientists, Medical Doctors, and Pharmacists. The team has a close collaboration with AP-HP (Assistance Publique – Hôpitaux de Paris), which is the most important French University Hospital Organization with 38 hospitals, in particular in the context of the clinical information system (CIS) project under development led with the Agfa company (Orbis Solution). 

Project Role

In the C3-Cloud project, the Inserm team is responsible for WP6 on interoperability middleware more precisely for the implementation of semantic interoperability. It is also strongly involved in the work on guidelines reconciliation for decision support. Inserm contributes as well in WP3 (design of C3-Cloud architecture) and WP9 (evaluation and assessment), responsible for the task 9.2 (Component Testing and Usability Studies).

Related Expertise

The LIMICS has proposed innovative computerized methods to manage data and complex knowledge in healthcare and to develop decision support systems for improving biomedical research, care quality and patient safety. Our approach is characterized by the inclusion of the semantic dimension (conceptual knowledge). The coding and sharing of diverse types of information from heterogeneous sources, the extraction of new knowledge and the introduction of that knowledge into computer systems capable of reasoning to provide support for medical decisions for maximal benefit to the patients, require above all the ability to share meaning. In the last five years, we have focused principally on the representation and management of qualitative medical knowledge, for knowledge sharing and decision-making support.
The projects carried out by the team fall into diverse contexts in terms of usage, for instance: detection of a pharmacovigilance signal, assistance with the coding of patients’ medical records, computerisation of clinical practice guidelines, assistance with prescription, building nation-wide information systems for epidemiology, research, and support for care coordination (in the rare disease field).

The Team

Marie-Christine Jaulent

DR INSERM, knowledge engineering, Semantic interoperability, decision support systems

Stefan Darmoni

PU-PH, Multi-terminology information retrieval, Multi-terminology automatic Indexing, terminology server (HeTop, multilingual Health Terminology/Ontology Portal)

Brigitte Seroussi

MCU-PH, clinical decision support systems, clinical guidelines representation

Lamine Traore

Post-doc, knowledge engineering, management

Ariane Asselé-Kama

Research Engineer, Knowledge enginnering, standards, software monitoring