Surgical education

as a crucial component of medical education

directly impacts the quality of healthcare services and patient safety. Traditional surgical education models often face challenges such as slow updates in course content and limited teaching methods

especially in the face of rapidly evolving medical fields. Recently

data-driven approaches have provided new perspectives for improving surgical education. By systematically collecting and analyzing student feedback

teachers can gain deep insights into the strengths and weaknesses of their courses and make evidence-based optimizations. This paper explores how data-driven methods can use student feedback to optimize surgical education curricula and enhance educational quality. It covers aspects such as the collection and analysis of student feedback

course design and optimization

adjustments to teaching methods

and the evaluation of educational effectiveness

aiming to offer a scientific and systematic approach to educational improvement and contribute to the development of surgical education.