Enhancement of a low-fidelity surgical simulator. Is it possible?

Background: Simulation training has become a core component in the training of ENT surgeons. It provides the opportunity for the repetitive practice of a surgical technique. Simulators are broadly categorised into low- and high-fidelity simulators. A method using a home microprocessor to enhance a l...

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Publicado en:Journal of Laryngology & Otology Vol. 135; no. 2; pp. 179 - 182
Autores principales: Evans, L M, Owens, D
Formato: pictorial Journal Article
Publicado: Cambridge University Press Feb2021
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Feb2021
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      pub: Cambridge University Press
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        atl: Enhancement of a low-fidelity surgical simulator. Is it possible?
      aug:
        au:
          Evans, L M
          Owens, D
        affil: ENT Department, University Hospital of Wales, Cardiff, UK
      sug:
        subj:
          Simulations
          Surgery, Otorhinolaryngologic Education
          Models, Anatomic
      ab: Background: Simulation training has become a core component in the training of ENT surgeons. It provides the opportunity for the repetitive practice of a surgical technique. Simulators are broadly categorised into low- and high-fidelity simulators. A method using a home microprocessor to enhance a low-fidelity surgical simulator is introduced. Method: The Yorick tonsil tie trainer was enhanced using an Arduino microcontroller attached to the simulated inferior pole of the tonsil. The Arduino was coded to give a visual stimulus when linear motion exceeded parameters. The prototype simulator was tested to gain information on whether the enhancement could identify differences between novice and expert users. Conclusion: An enhanced low-fidelity tonsil trainer was produced using a low-cost, simple home microprocessing board. The enhanced simulator gives objective feedback allowing for self-directed learning. Further research is required to evaluate the benefits of these enhancements above non-enhanced simulation training.
      pubtype: Academic Journal
      doctype:
        pictorial
        Journal Article
      ougenre: Article
    language: English
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