معرفی
Maxime Thibault is a Clinical Associate Professor at the Université de Montréal, affiliated with the Faculty of Medicine and the Department of Anesthesiology and Pain Medicine. His research focuses on clinical pharmacy, medication safety, pediatric pharmacology, healthcare technology, and process improvement in healthcare systems. He has contributed to advancements in machine learning applications for medication order review, parenteral nutrition management, and opioid crisis mitigation strategies. His work bridges clinical practice, technology, and patient outcomes through rigorous methodological approaches including mixed-methods evaluations, retrospective cohort studies, and pilot trials. Professional interests also extend to healthcare workforce adaptations during pandemics and the ergonomic design of hospital environments.
Key research themes include optimizing pharmacist workflows via AI-driven tools, reducing medication errors through CPOE systems, and managing controlled substances to address opioid misuse. He has pioneered studies on neonatal cholestasis and parenteral nutrition-associated liver disease, emphasizing evidence-based interventions such as ursodeoxycholic acid therapy. His work integrates quantitative analyses (e.g., GANomaly algorithms for anomaly detection) with qualitative insights from healthcare professionals and patients.
Dr. Thibault collaborates across disciplines, engaging in national and international comparisons of pharmaceutical practices (e.g., France-Québec medication validation comparisons). He actively participates in healthcare policy discussions related to medication safety, telehealth implementation, and the economic implications of automation in pharmacy compounding. His contributions reflect a commitment to translating technological innovations into actionable solutions for improving patient care and clinical outcomes.
