Data-Driven Metrics of Operative Performance: The Technology-Enhanced Surgical Training (TEST) Delphi Consensus Study
Year: 2025
Type: article
Abstract: OBJECTIVES: Technology-enhanced assessment of operative performance offers greater objectivity and reliability than traditional methods. However, consensus on the most critical metrics for informing the future of surgical training is lacking, and guidance on optimal application of these analytics to enhance feedback is needed. This study aimed to establish consensus on advanced operative performance metrics in surgical training and identify applications to enhance feedback. DESIGN: Data-driven 3-round Delphi method, where experts iteratively rated performance metrics derived from the surgical literature on a 7-point Likert scale. Statements reaching the a priori consensus threshold [round 1: > 75% rating => 6; round 2 + 3 > 50% rating => 6] were included in the final consensus statement. SETTING: Electronic survey, using the research electronic data capture (REDCap) system. PARTICIPANTS: A pan-specialty, international panel of 57 surgical trainers, trainees and researchers. RESULTS: Twenty-two statements met the consensus threshold, of which 10 represented individual training specific metrics. Technical metrics were: dissection in the correct tissue plane (58.1% consensus); economy of motion (58.1%); and technical errors (53.5%). Non-technical metrics were: situation awareness (60.5%); communication (55.8%); decision -making (51.2%); and cognitive load (51.2%). Outcome metrics included: a safety score (60.5%); duration to react to adverse events (60.5%); and a global performance score (53.5%). Suggested applications to surgical training included: comparing individual metrics over time (65.1%); benchmarking against the average performance of trainees with similar experience (55.8%); and guiding formative assessments (51.2%). CONCLUSIONS: This Delphi study established international consensus on advanced operative performance metrics, providing a foundation for improved feedback in surgical training. Demonstrating validity of existing metrics and developing novel ones that were highly ranked are the critical next steps to integrate advanced technologies into surgical training curricula, enhancing trainee development and patient safety.
Source: Journal of surgical education
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,420
Funders: Brigham and Women's Hospital, University of Pennsylvania, Wellcome Trust, NHS Education for Scotland, Swansea Bay University Health Board, Royal College of Surgeons of Edinburgh, University of Aberdeen, Universitätsklinikum Köln, Centre Hospitalier Universitaire de Rennes, University of North Carolina at Chapel Hill
OpenAlex ID: W4414334745
