Abstract
Laparoscopic surgery imposes greater demands on surgeon capacities and abilities. The current study investigates the use of a novel method (Nonlinear Causal Resource Analysis, NCRA) for operative performance prediction and limiting resource identification. Basic performance resources were measured for 20 urology residents with 13 validated measures. Operative performance was measured during porcine laparoscopic nephrectomies using the Global Rating of Operative Performance Scale. NCRA models of the surgical task were built and used to predict operative performance. NCRA predicted the same rank order as experts and achieved excellent agreement for the poorest performers. These methods provide encouraging results for objectively predicting operative performance and identifying situations where a particular performance resource (e.g., coordination) limits HLT performance. Selection of surgical candidates, training, and educational curriculum could be impacted.
| Original language | English (US) |
|---|---|
| Title of host publication | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Pages | 2360-2361 |
| Number of pages | 2 |
| Volume | 3 |
| State | Published - 2002 |
| Event | Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States Duration: Oct 23 2002 → Oct 26 2002 |
Other
| Other | Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) |
|---|---|
| Country/Territory | United States |
| City | Houston, TX |
| Period | 10/23/02 → 10/26/02 |
Keywords
- Laparoscopy
- Prediction
- Surgical performance
- Training
ASJC Scopus subject areas
- Bioengineering