Raji Nibber

Fraser Health

Papers

1

Total Citations

302

H-Index

1

About

Dr. Raji Nibber is a leading voice in the integration of artificial intelligence within nursing practice and healthcare delivery. Her primary research focuses on the ethical deployment, clinical utility, and systemic implications of AI-based technologies in nursing, with a particular emphasis on identifying data bias and ensuring equitable patient outcomes. Her most influential work, the 2021 scoping review "Artificial Intelligence-based technologies in nursing: A scoping literature review of the evidence," has garnered over 300 citations, establishing a foundational framework for understanding how AI can both assist and challenge nursing care. Through this and related studies, Dr. Nibber has critically examined the gap between technological promise and real-world clinical application, highlighting concerns around algorithmic fairness and the need for nurse-led innovation. Her contributions have shaped policy discussions and informed educational curricula on digital health literacy. By bridging computer science and nursing science, Dr. Nibber continues to empower healthcare professionals to harness AI responsibly, ensuring that technological advancement serves—rather than supplants—the human touch at the heart of care.

Research Focus

Key Achievements

1
H-Index
1
Papers
302
Total Citations
302
Avg Citations/Paper
🏆 Most Cited Paper
Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence
302 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Fraser Health

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago