Diagnostic Completeness
Cross-source consensus on Diagnostic Completeness from 1 sources and 4 claims.
1 sources · 4 claims
Uses
How it works
Risks & contraindications
Evidence quality
Highlighted claims
- Even experienced bronchoscopists explicitly instructed to visit all segments achieved only 73% DC80 on average, confirming that segment omission occurs even among skilled practitioners. — Simulation-based training intervention using artificial intelligence to improve clinical bronchoscopy performance: a pre–postintervention study
- Diagnostic completeness is the most frequently used performance metric in the bronchoscopy training literature, reflecting consensus that a diagnostic bronchoscopy should begin with a full, systematic inspection of the bronchial tree. — Simulation-based training intervention using artificial intelligence to improve clinical bronchoscopy performance: a pre–postintervention study
- SP80, which measures systematic inspection order, is a strong predictor of DC80, reinforcing the importance of teaching structured technique from the beginning of the learning curve. — Simulation-based training intervention using artificial intelligence to improve clinical bronchoscopy performance: a pre–postintervention study
- All primary outcome measures including DC80 trended in the expected direction post-intervention but did not reach significance, consistent with a possible Type II error in an underpowered study. — Simulation-based training intervention using artificial intelligence to improve clinical bronchoscopy performance: a pre–postintervention study