Prediction of surgical skill and limitations from basic performance capacities using nonlinear causal resource analysis

George V. Kondraske, Jeffrey A Cadeddu, Cheryl Napper, Daniel B. Jones

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages2360-2361
Number of pages2
Volume3
StatePublished - 2002
EventProceedings 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 2002Oct 26 2002

Other

OtherProceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS)
CountryUnited States
CityHouston, TX
Period10/23/0210/26/02

Fingerprint

Urology
Curricula
Surgery

Keywords

  • Laparoscopy
  • Prediction
  • Surgical performance
  • Training

ASJC Scopus subject areas

  • Bioengineering

Cite this

Kondraske, G. V., Cadeddu, J. A., Napper, C., & Jones, D. B. (2002). Prediction of surgical skill and limitations from basic performance capacities using nonlinear causal resource analysis. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 3, pp. 2360-2361)

Prediction of surgical skill and limitations from basic performance capacities using nonlinear causal resource analysis. / Kondraske, George V.; Cadeddu, Jeffrey A; Napper, Cheryl; Jones, Daniel B.

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 3 2002. p. 2360-2361.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kondraske, GV, Cadeddu, JA, Napper, C & Jones, DB 2002, Prediction of surgical skill and limitations from basic performance capacities using nonlinear causal resource analysis. in Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. vol. 3, pp. 2360-2361, 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, 10/23/02.
Kondraske GV, Cadeddu JA, Napper C, Jones DB. Prediction of surgical skill and limitations from basic performance capacities using nonlinear causal resource analysis. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 3. 2002. p. 2360-2361
Kondraske, George V. ; Cadeddu, Jeffrey A ; Napper, Cheryl ; Jones, Daniel B. / Prediction of surgical skill and limitations from basic performance capacities using nonlinear causal resource analysis. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 3 2002. pp. 2360-2361
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