Jiaojiao Gao

Nanjing University of Chinese Medicine

Papers

1

Total Citations

3

H-Index

1

About

Dr. Jiaojiao Gao is a pioneering researcher in healthcare robotics, with a focused expertise in the integration of nursing robots into clinical settings to alleviate workforce strain. Her most-cited work, "Nursing Robots Can Reduce Nursing Workload in General Adult Wards: A Two‐Phase Study" (2025, 3 citations), represents a landmark contribution to the field of nursing automation. In this study, Dr. Gao systematically identified the range of care tasks that current-generation nursing robots can perform in general adult wards and, crucially, quantified the potential reduction in nursing workload. Her two-phase methodology provides a rigorous, evidence-based framework for evaluating robot capabilities, offering a realistic roadmap for implementation rather than speculative promise. This work directly addresses the global shortage of nursing staff by demonstrating how automation can safely offload routine tasks, allowing human nurses to focus on complex clinical decision-making and patient interaction. Dr. Gao’s research is pivotal for hospital administrators, healthcare engineers, and nursing leaders seeking to adopt robotic assistance without compromising care quality. By bridging robotics engineering with frontline nursing needs, she is shaping a future where technology and human compassion work in tandem.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Nursing Robots Can Reduce Nursing Workload in General Adult Wards: A Two‐Phase Study
3 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Nanjing University of Chinese Medicine

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago