Lun‐Hui Ho

Chang Gung University of Science and Technology

Papers

3

Total Citations

81

H-Index

3

About

Lun-Hui Ho is a pioneering researcher at the intersection of nursing, healthcare management, and human-robot interaction. Her work focuses on understanding how robotic technologies reshape the nursing profession, specifically examining their impact on professional task engagement, time pressure, and workforce retention. Ho’s major contributions include demonstrating that robots can help nurses focus on professional tasks while reducing nonprofessional workload, thereby lowering turnover intention—a critical issue in healthcare. Her 2021 study (44 citations) established that robot-enabled task engagement significantly reduces nurses’ intent to leave, while her 2022 follow-up (23 citations) revealed the complex relationship between robot maintenance efforts, time pressure, and missed care. Ho’s research uniquely addresses the paradox that while robots reduce workload, they also require effort to ensure smooth operation, which can create new pressures. Her two-wave survey designs provide robust evidence for healthcare administrators considering robotic integration. With over 80 combined citations across her key papers, Ho’s work is essential reading for anyone interested in the future of nursing, healthcare technology adoption, and the human factors of workplace automation.

Research Focus

Key Achievements

3
H-Index
3
Papers
81
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
How Robots Help Nurses Focus on Professional Task Engagement and Reduce Nurses’ Turnover Intention
44 citations · 2021
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Chang Gung University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago