No included study applied automated video metrics longitudinally to training or assessed non-technical skills¶

Claim · All claims
Evidence · 1 study · review r3 · q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? None of the 13 included studies explored the impact of automated video analytics on training outcomes such as learning curves, and no study reported longitudinal use of metrics by trainees for skill development. → Dick L 2024 q2 i? No study produced metrics for the assessment of non-technical skills or reported how metrics could be applied to assess them. → Dick L 2024

Evidence¶

Dick L 2024¶

Dick L, Boyle CP, Skipworth RJE, Smink DS, Tallentire VR, Yule S. (2024). Automated analysis of operative video in surgical training: scoping review. BJS Open. https://doi.org/10.1093/bjsopen/zrae124

q2 · i? · review · r3

Narrative synthesis of the application-to-training findings across all 13 included studies. The review identifies these as evidence gaps: "There was a lack of longitudinal application to training" and only one qualitative study reported trainee experience.

"No study produced metrics for the assessment of non-technical skills or reported on how the metrics produced could be applied to assess non-technical skills. Furthermore, none of the included studies explored the impact on training outcomes (for example learning curves)."

Discussion¶

Related Claims¶

• AI-based assessment systems show strong internal performance and early real-time deployment for critical view of safety detection, but lack external validation and clinical impact evidence — related
• Short-term, non-longitudinal training programmes pose challenges for estimating long-term skill retention — related
• Automated video metrics correlate with validated expert-based assessment tools — related