Application-Specific Learning Curve in Computer-Assisted Total Knee Arthroplasty

4 pages•Published: September 25, 2020

Yifei Dai, Laurent Angibaud, Guillaume Bras, Cyril Hamad and Jefferson Craig Morrison

Abstract

This study employed an advanced method (CUSUM) to analyze the learning curve regarding surgical efficiency (time) using two CAOS applications, which were designed to address user needs with different levels of comprehensiveness in term of offered guidance and instrumentation requirements. Two group of surgeons, each used either CAOS applications were included in the study. The first 50 CAOS TKA cases from each surgeon were analyzed to identify the learning curve. The duration of learning, as well as the impact of learning based on surgical time, were assessed with regard to the specific CAOS application and surgeon’s previous CAOS experience level. The data demonstrated differences in term of pattern of adoption during learning process between the two CAOS applications. However, the learning process was not sensitive to surgeon’s experience level.

Keyphrases: computer assisted orthopedic surgery, learning curve, total knee arthroplasty

In: Ferdinando Rodriguez Y Baena and Fabio Tatti (editors). CAOS 2020. The 20th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 4, pages 41-44.

Links:	https://easychair.org/publications/paper/BRj6
	https://doi.org/10.29007/nrzj

BibTeX entry

@inproceedings{CAOS2020:Application_Specific_Learning_Curve,
  author    = {Yifei Dai and Laurent Angibaud and Guillaume Bras and Cyril Hamad and Jefferson Craig Morrison},
  title     = {Application-Specific Learning Curve in Computer-Assisted Total Knee Arthroplasty},
  booktitle = {CAOS 2020. The 20th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery},
  editor    = {Ferdinando Rodriguez Y Baena and Fabio Tatti},
  series    = {EPiC Series in Health Sciences},
  volume    = {4},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-5305},
  url       = {/publications/paper/BRj6},
  doi       = {10.29007/nrzj},
  pages     = {41-44},
  year      = {2020}}

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