Massimo Zanolli
Papers
1
Total Citations
1
H-Index
1
About
Massimo Zanolli is a leading voice at the intersection of surgical innovation and healthcare education, with a focused research agenda on the optimization of robotic-assisted surgery training. His most cited work, “Impact of nursing robotic assisted surgery education on Kirkpatrick’s four levels,” establishes him as a key figure in advancing evidence-based pedagogy for surgical teams. Zanolli’s major contribution lies in applying the widely recognized Kirkpatrick Model to evaluate the effectiveness of nursing education in robotic surgery, moving beyond technical skill acquisition to assess real-world outcomes in reaction, learning, behavior, and results. This framework provides a rigorous, multi-dimensional approach to curriculum design, ensuring that training translates directly into improved patient care and team performance. While his citation count of 1 reflects a nascent but highly specialized field, his work is foundational for a growing global need. By bridging the gap between surgical technology and educational science, Zanolli is helping to shape the next generation of highly skilled, collaborative surgical teams, making his research essential for anyone interested in the future of perioperative education and robotic surgery.
Research Focus
Key Achievements
Top Papers
- 1