Claims

A total of 2618 surgical residents were trained and assessed using data-driven assessment tools across the 35 included studies

Claim · All claims
Evidence · 1 study · review r3 · q3
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q3 i? Across the 35 included studies, 2618 surgical residents (median 27 per study) were trained and assessed with data-driven tools. → Hardon Sem F. 2025

Evidence

Hardon Sem F. 2025

Hardon Sem F., Horeman Tim, Reijers Sophie J. M., Schoonmade Linda J., Daams Freek, van der Peet Donald L. (2025). The Implementation of Data-Driven Assessment into Laparoscopic Skills Training: A Systematic Review. Surgical Innovation. https://doi.org/10.1177/15533506251336824

q3 · i? · review · r3

Descriptive analysis of study characteristics reports "A total of 2618 surgical residents, median 27 (range 6 - 914), were trained and assessed by data-driven assessment tools for laparoscopic skills training."

"A total of 2618 surgical residents, median 27 (range 6 - 914), were trained and assessed by data-driven assessment tools for laparoscopic skills training (Table 1)."

Discussion

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generated by process:wiki-ingest on 2026-10-31
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