Davide Gulotta
Papers
1
Total Citations
1
H-Index
1
About
Davide Gulotta is a rising researcher at the intersection of surgical education and robotic-assisted technology, with a focused interest in optimizing training outcomes for nursing and surgical teams. His most cited work, "Impact of nursing robotic assisted surgery education on Kirkpatrick's four levels" (2025), introduces a rigorous evaluation framework to assess the effectiveness of educational interventions in robotic surgery. By applying Kirkpatrick’s model—spanning reaction, learning, behavior, and results—Gulotta provides a systematic approach to measuring how training translates into clinical competence and patient care improvements. This contribution is particularly timely as the global burden of robotic surgical procedures grows, demanding skilled, well-coordinated teams. While his citation count is still emerging, the foundational nature of his work positions him as a key voice in evidence-based surgical education. Gulotta’s research underscores the critical role of structured, multi-level assessment in advancing both surgeon and nursing proficiency, ultimately aiming to elevate safety and efficiency in the operating room. His efforts are paving the way for more accountable and impactful training programs in modern surgery.
Research Focus
Key Achievements
Top Papers
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