Megan Bamford

Registered Nurses' Association of Ontario

Papers

3

Total Citations

485

H-Index

2

About

Megan Bamford is a pioneering nursing researcher whose work sits at the critical intersection of artificial intelligence and healthcare. Her scholarship has significantly advanced understanding of how emerging AI technologies will reshape the nursing profession across its multiple domains, from clinical care and administration to education, policy, and research. Bamford's most influential contributions include two landmark scoping reviews that have collectively garnered nearly 500 citations, establishing her as a leading voice in this rapidly evolving field. Her 2020 scoping review on AI's predicted influences across nursing domains (211 citations) broke important ground by centering nurses — the largest group of health professionals — in conversations about AI-driven healthcare transformation, with particular attention to person-centered care. Building on this foundation, her 2021 companion review (272 citations) extended this analysis specifically into nursing education, examining how AI health technologies will reshape how nurses are trained and prepared for practice. Through her rigorous, evidence-based approach, Bamford has helped ensure that nursing perspectives are not overlooked in broader discussions about AI's healthcare future. Her research serves as an essential resource for nursing educators, administrators, and policymakers navigating the profound changes that AI technologies promise to bring to the profession.

Research Focus

Key Achievements

2
H-Index
3
Papers
485
Total Citations
162
Avg Citations/Paper
🏆 Most Cited Paper
Predicted Influences of Artificial Intelligence on Nursing Education: Scoping Review
272 citations · 2021
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Registered Nurses' Association of Ontario

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago