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Minimally Trained Analysts Can Perform Fast, Objective Assessment of Orthopedic Technical Skill from Fluoroscopic Images.
Mattioli, Dominik D; Thomas, Geb W; Long, Steven A; Tatum, Marcus; Anderson, Donald D.
Afiliación
  • Mattioli DD; Department of Industrial & Systems Engineering, University of Iowa, Iowa City, United States.
  • Thomas GW; Department of Industrial & Systems Engineering, University of Iowa, Iowa City, United States.
  • Long SA; Department of Orthopedics and Rehabilitation, University of Iowa, Iowa City, United States.
  • Tatum M; Department of Orthopedics and Rehabilitation, University of Iowa, Iowa City, United States.
  • Anderson DD; Department of Industrial & Systems Engineering, University of Iowa, Iowa City, United States.
IISE Trans Healthc Syst Eng ; 12(3): 212-220, 2022.
Article en En | MEDLINE | ID: mdl-36147899
ABSTRACT
Skill assessment in orthopedics has traditionally relied on subjective impressions from a supervising surgeon. The feedback derived from these tools may be limited by bias and other practical issues. Objective analysis of intraoperative fluoroscopic images offers an inexpensive, repeatable, and precise assessment strategy without bias. Assessors generally refrain from using the scores of images obtained throughout the operation to evaluate skill for practical reasons. A new system was designed to facilitate rapid analysis of this fluoroscopy via minimally trained analysts. Four expert and four novice analysts independently measured one objective metric for skill using both a custom analysis software and a commercial alternative. Analysts were able to measure the objective metric three times faster when using the custom software, and without a practical difference in accuracy in comparison to the expert analysts using the commercial software. These results suggest that a well-designed fluoroscopy analysis system can facilitate inexpensive, reliable, and objective assessment of surgical skills.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: IISE Trans Healthc Syst Eng Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: IISE Trans Healthc Syst Eng Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos