Jean Noel Nikiema

Université de Montréal | UdeM · School of Public Health

The objective of this study was to describe and assess the quality of the direct-to-consumer medical teleconsultation landscape in three Canadian provinces. An environmental scan of primary care teleconsultation platforms was conducted in January 2022 to identify medical teleconsultation platforms in Quebec (Qc), Ontario, and British Columbia (BC)....

Artificial intelligence in general, and machine learning (ML) techniques in particular, hold the promise of enormous benefits to medication management, both in the hospital or in the community setting. The potential of ML techniques to support the decision making of patients, clinicians, managers and/or policy-makers is massive. However, the learni...

This paper describes the development and evaluation of a Canadian drug ontology (OCRx), built to provide a normalized and standardized description of drugs that are authorized to be marketed in Canada. OCRx aims to improve the usability and interoperability of drugs terminologies for a non-ambiguous access to drugs information that is available in...

Objective Our study consists in aligning the interface terminology of the Bordeaux university hospital (TLAB) to the Logical Observation Identifiers Names and Codes (LOINC). The objective was to facilitate the shared and integrated use of biological results with other health information systems. Materials and Methods We used an innovative approach...

The aim of our study was to create a graph model for the description of LOINC® concepts. The main objective of the constructed structure is to facilitate the alignment of French local terminologies to LOINC. The process consisted of automatically incorporating the naming rules of LOINC labels, based on punctuation. We implemented these rules and ap...

Dans le domaine de la santé, il existe un nombre très important de sources de connaissances, qui vont de simples terminologies, classifications et vocabulaires contrôlés à des représentations très formelles, que sont les ontologies. Cette hétérogénéité des sources de connaissances pose le problème de l’utilisation secondaire des données, et en part...

Objectives: To compare the representation of medicinal products in RxNorm and SNOMED CT and assess the consequences on interoperability. Methods: To compare the two models, we manually establish equivalences between the types and definitional features of medicinal products entities in RxNorm and SNOMED CT. We highlight their similarities and dif...

In oncology, the reuse of data is confronted with the heterogeneity of terminologies. It is necessary to semantically integrate these distinct terminologies. The semantic integration by using a third terminology as a support is a conventional approach for the integration of two terminologies that are not very structured. The aim of our study was to...