Data Science

Data Science

Our main objectives in data science are to ensure legitimate access to data, enhance their discoverability, and strengthen their management. We aim to establish rigorous guidelines that guarantee appropriate and secure access to data. Once the data are accessible, we work to create an improved framework that makes them easier to find, explore, and use across the research community. This new structure will not only support discoverability but also enable more efficient data manipulation, analysis, and long-term reuse.

Optimizing the flow of
hospital care processes
in mental health

InterRai,
MWI-CIUSSS &
Data Science Team

The primary objective of this project is to enhance the quality of care and the fluidity of clinical processes in the field of mental health by leveraging artificial intelligence (AI). In partnership with the interRAI consortium, the project aims to develop clinical performance dashboards and create predictive models for care trajectories and individual outcomes, thereby enabling evidence-based clinical decision-making. The interRAi consortium developed well-established psychometric tools containing 50 decision-making algorithms to optimize care planning. The interRAI tools allow for systematic and uniform collection of high-quality clinical data, thus facilitating their comparison and analysis. The anticipated outcomes of the project extend beyond the patients themselves, benefiting the mental health ecosystem at the provincial, national, and even international levels.

Website

Improve Patients Care

Perfocentre &
Data Science Team

A great quantity of clinico-administrative data from the Douglas clinics converges toward the Perfocentre data lake. This bureau is a CIUSSS entity which uses centralized data to create aggregate reports for our Ministry of Health. The D3SM and the Perfocentre team's collaborate to enable the valorization of this valuable data, via data harmonization and structured metadata. This work will help improve discoverability of data for researchers and to enable clinical research opportunities on real world data and facilitating reuse of data to benefit patients.

Perfocentre & Data Science Team

Perfocentre &
Data Science Team