Abstract
BACKGROUND: Surgical training relies heavily on subjective performance evaluation, which is resource-intensive and prone to assessor bias. Advances in digital surgery offer opportunities for objective assessment. While validity evidence for data-driven assessments increases, strategies for implementation in surgical training remain scarce. The aim of this study was to leverage stakeholder insights to develop an implementation framework for integrating data-driven surgical sabermetrics into training curricula.
METHODS: Structured workshops were conducted at two international surgical conferences (the Association of Surgeons of Great Britain and Ireland Congress, Edinburgh, May 2025 and the International Conference on Surgical Education and Training, Edinburgh, June 2025). Delegates participated in facilitated discussions, interactive polling, and group concept-mapping exercises to explore opportunities, delivery modalities, access rights, and contextualization for surgical performance metrics. Stakeholder perceptions were used to iteratively develop an implementation framework, balancing applicability to current training pathways and capturing the nuances of data-driven insights.
RESULTS: A total of 54 surgical trainees and trainers from 13 countries contributed. Opportunities centred on enhancing objective feedback, assessing non-technical skills, and tracking trainee progression. Video-based delivery and real-time feedback were prioritized for technical skills, dashboards were prioritized for non-technical and cognitive skills, and structured reports were prioritized for performance-based metrics. Supervising surgeons and training leads were identified as essential users of trainee data, with integration of multimodal data (for example surgeon physiology, case complexity) deemed essential for contextualization.
CONCLUSION: This study presents an implementation framework for surgical sabermetrics in training. The framework provides practical guidance on delivery, access, and integration of performance metrics, supporting data-driven feedback to optimize trainee development, advance surgical education, and improve patient outcomes.