Learning of A CAOS Enhanced Mechanical Instrument System for Total Knee Arthroplasty: A CUSUM Analysis

4 pages•Published: July 12, 2018

Yifei Dai, James Huddleston, Matt Rueff, Laurent Angibaud and Derek Amanatullah

Abstract

This study employed an advanced method (Cumulative sum control chart, CUSUM) to analyze the learning curve regarding surgical efficiency (time) in four surgeons from different experience levels upon their adoption of a mechanical instrument enhanced by computer-assisted orthopaedic surgery (CAOS). The first six CAOS-TKA cases of each surgeon were analyzed to identify the case number when their learning process was stabilized (cases to proficiency). The surgical time increase during the learning phase were compared between senior and fellow surgeons. The data demonstrated a short learning duration (2-3 cases) both senior and fellow surgeons and a mild impact from learning compared to cases performed using conventional instrument system.

Keyphrases: computer assisted orthopaedic surgery, cumulative sum control chart (cusum), learning curve, sequential analysis, total knee arthroplasty

In: Wei Tian and Ferdinando Rodriguez Y Baena (editors). CAOS 2018. The 18th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 2, pages 32-35.

Links:	https://easychair.org/publications/paper/4jVl
	https://doi.org/10.29007/k12h

BibTeX entry

@inproceedings{CAOS2018:Learning_CAOS_Enhanced_Mechanical,
  author    = {Yifei Dai and James Huddleston and Matt Rueff and Laurent Angibaud and Derek Amanatullah},
  title     = {Learning of A CAOS Enhanced Mechanical Instrument System for Total Knee Arthroplasty: A CUSUM Analysis},
  booktitle = {CAOS 2018. The 18th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery},
  editor    = {Wei Tian and Ferdinando Rodriguez Y Baena},
  series    = {EPiC Series in Health Sciences},
  volume    = {2},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-5305},
  url       = {/publications/paper/4jVl},
  doi       = {10.29007/k12h},
  pages     = {32-35},
  year      = {2018}}

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