Peipei Huang

Papers

Total Citations

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About

Peipei Huang is a pioneering researcher in the field of robotic-assisted surgery (RAS) nursing, with a focused expertise in developing competency frameworks for specialist nurses in high-tech surgical environments. Her most influential work, "Development of a core competency evaluation index system for specialist nurses in robot-assisted surgery: a Delphi study" (2025, 5 citations), addresses the critical gap in standardized training and assessment for operating room nurses working with the Da Vinci Surgical System. This study establishes a comprehensive evaluation index system that defines the specialized skills, knowledge, and behaviors required for nurses to effectively support robotic procedures, directly responding to the rapid transformation of surgical practices. Huang’s contributions are particularly significant as RAS technology becomes more prevalent, ensuring that nursing roles evolve in tandem with surgical innovation. Her work has immediate practical implications for hospital training programs, patient safety protocols, and the professional development of perioperative nurses. By bridging the gap between technological advancement and nursing competency, Huang is shaping the future of surgical nursing education and practice in the era of robotic surgery.