Improving the exchange of medical information through applied ontologies

As part of the Open Biological and Biomedical Ontology (OBO) Foundry, the GRIIS is joining forces with an international community that develops compatible ontologies.

An ontology is a rigorous representation of a domain of reality (e.g. the medical field). It uses language that computers understand. This allows computers to reason in an automated way. By means of computer science, we can automatically test the logical coherence of an ontology or infer new knowledge.

At the GRIIS, we develop ontologies in the biomedical field, such as an ontology of drug prescriptions or an ontology of cardiovascular diseases. These ontologies are subsequently applied in health informatics.

Ontologies can assist the linkage of health data that is diverse and heterogeneous (e.g. clinic and hospital data). With ontologies, computer systems can communicate with each other, even though they may be constructed differently.

Related scientific publications

Consult five of our most recent publications on ontologies.

Ontologies

Prescription of Drugs Ontology (PDRO)

PDRO is a realist ontology that aims to represent the domain of drug prescriptions. PDRO’s central focus is the structure of a drug prescription.

The PDRO ontology is the topic of a scientific article published in the journal Applied Ontology.

Cardiovascular Disease Ontology (CVDO)

The CVDO ontology differentiates between cardiovascular diseases, underlying disorders and associated pathological processes.

It is based on the disease model proposed by the Ontology for General Medical Science (OGMS).

Clinical Laboratory Test Document Ontology (LABO)

The LABO ontology represents documents that prescribe laboratory tests and that provide their results.

It is coordinated with OBO Foundry ontologies like the Information Artifact Ontology (IAO) and the Ontology for Biomedical Investigations (OBI).

Open source ontologies for learning health systems

The GRIIS ontology team has published a dozen open source ontologies. These knowledge models are used in software development to support health care and health systems.

Partners

Key partners

With the support of

Applied ontologies directors

Adrien Barton - GRIIS

Adrien Barton

CNRS research fellow at the Institut de recherche en informatique in Toulouse

Associate professor at the Département de médecine of the Université de Sherbrooke

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Jean-François Ethier - GRIIS - Groupe de recherche interdisciplinaire en informatique de la santé

Jean-François Ethier

Co-founder and scientific co-director of the GRIIS
Full Professor of medicine at Université de Sherbrooke
Research Chair in Health Informatics, Université de Sherbrooke
Licensed physician at the CHUS

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Related scientific publications

See all our publications related to ontologies.