Alexandre Castonguay
Papers
1
Total Citations
45
H-Index
1
About
Alexandre Castonguay is a leading researcher at the intersection of nursing practice and artificial intelligence, with a primary focus on how AI-based health technologies are reshaping clinical workflows and patient care. His most influential work, a systematic review on nurse practitioners’ involvement with AI, has garnered 45 citations and serves as a foundational resource for understanding the human factors critical to technology adoption in healthcare. Castonguay’s contributions go beyond cataloging trends; he critically examines the barriers and facilitators that determine whether AI tools empower or overwhelm frontline clinicians. By centering the perspectives of nurse practitioners—often overlooked in AI development—his research provides actionable insights for designing more intuitive, equitable digital health systems. His work has been recognized for bridging the gap between technical innovation and real-world clinical practice, making him a sought-after voice in health informatics. For students and researchers, Castonguay’s scholarship offers a vital roadmap for ensuring that AI enhances, rather than complicates, the delivery of compassionate, evidence-based care.
Research Focus
Key Achievements
Top Papers
- 1