Wen Qin

Nantong University

Papers

1

Total Citations

5

H-Index

1

About

Dr. Wen Qin has established a focused research program at the intersection of surgical innovation and nursing specialization, with particular expertise in competency development for robotic-assisted surgery (RAS). Their most cited work, a 2025 Delphi study, addresses a critical gap in perioperative care by constructing a core competency evaluation index system for specialist nurses working with the Da Vinci Surgical System (DVSS). This research systematically identifies the knowledge, skills, and attitudes required as operating room nurses assume increasingly specialized roles in this rapidly evolving surgical landscape. The study’s framework provides healthcare institutions with evidence-based tools for training, assessment, and quality improvement in RAS nursing—a field that has seen explosive growth yet lacked standardized competency benchmarks. While Dr. Qin’s citation record is still developing, the timeliness of this work positions it as a foundational reference for hospitals adopting robotic surgery programs. By bridging the gap between technological advancement and nursing practice, Dr. Qin contributes to safer, more effective surgical teams and improved patient outcomes in the era of precision surgery.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Development of a core competency evaluation index system for specialist nurses in robot-assisted surgery: a Delphi study
5 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Nantong University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago