Christian Vincelette

Christian Vincelette serves as Assistant Professor at the University of Montreal's Faculty of Nursing, with active research affiliations at CRCHUM (Centre de recherche du Centre hospitalier de l'Université de Montréal) and the Digital Health Network. His work bridges critical care nursing practice with data-driven innovation in high-acuity settings.

His educational background includes a B.Sc. in Nursing (2016), M.Sc. in Health Research with nursing concentration (2018), and Ph.D. in Health Research with nursing concentration (2022), all from Université de Sherbrooke, followed by a 2025 postdoctoral fellowship in Clinical Sciences at University of Montreal.

Vincelette's research focuses on intensive care nursing practices, particularly examining drug administration protocols for critical medications like sedatives and vasopressors, developing objective measures of clinical practice quality, and leveraging high-frequency clinical data for decision support. His work employs mixed-methods approaches with emphasis on quantitative analysis of complex clinical workflows.

His publication record shows consistent output since 2019, with accelerating productivity through 2025. The research trajectory reveals increasing sophistication in data analysis methods, moving from foundational studies on omitted nursing care to advanced applications of machine learning for medication safety and real-time clinical decision support in critical care environments.

As an active researcher recruiting Master's and Ph.D. students, he focuses on innovative modalities for clinical decision support, adjustment of critical continuous infusions, objective measurement of nursing practices, and utilization of high-frequency clinical data including vital signs and volumetric pump metrics.