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Kaizen: Engineering tools for development, evaluation, certification and continuous improvement of microsurgical abilities and procedures

Villanueva PJ;
Villanueva BM;
Sanmarco CT;
Rodriguez HI;
Arciénaga A;
Lagier ME;
Cherian I;
Formento HR

Pablo Javier Villanueva

Bárbara Magdalena Villanueva

Constanza Torres Sanmarco

Hector Ivan Rodriguez

Antonio Arciénaga

Maria Eugenia Lagier

Iype Cherian

Hector Ricardo Formento


Keywords

Microscopic surgery
Kaizen method
Evaluation protocols
Hand-skill training

Abstract

Introduction: microsurgical procedures are multi-variable situations, difficult to objectively analyse. Procedures evaluation-improvement-certification is a strong and developed science for engineers. Kaizen is a renamed methodology in this area. This study aims to use Kaizen tools and politics to design a protocol for hand-skills training at a microsurgical scenario, with continuous improvement ability and objective evaluation capabilities.

Materials and methods: a step-by-step hand-skills training protocol was designed using Kaizen method and an experienced microvascular team opinion. It was performed by one surgeon, using a biological sample (placenta) as a surgical simulator. PDCA Kaizen protocol helped to define variables (time elapsed and mistake committed while performing a precise task) and a mistakes-score building to evaluate every single step of the procedure. The scenario was fully controlled to avoid bias. Results were statistically analysed.

Results: twelve placentas were used to achieve the goals. Total working time was 13h47m03s. Longest attempt was the first one (1h49m05s/2mistakes). Shorter attempt was the fourth one (53m29sec/3mistakes). Average time was 1h15m11sec. After 7 attempts, learning curve achieves a plateau. After 12 attempts, no mistakes level was achieved, (57min37sec).

Conclusion: Kaizen application to microsurgery results in a training programme that shows significant impact reducing time-needed and mistake-committed levels. Kaizen helped to use an experienced team expertise, identify useful variables, evaluate a complex procedure, data processing, and continuous-improvement-politic inclusion. Learning curves were precisely built, and teaching progress objectively measured. This method could also be applied to analyse and evaluate surgical procedures.

 

DOI:https://doi.org/10.56238/medfocoexplconheci-049


Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Copyright (c) 2023 Pablo Javier Villanueva, Bárbara Magdalena Villanueva, Constanza Torres Sanmarco, Hector Ivan Rodriguez, Antonio Arciénaga, Maria Eugenia Lagier, Iype Cherian, Hector Ricardo Formento

Author(s)

  • Pablo Javier Villanueva
  • Bárbara Magdalena Villanueva
  • Constanza Torres Sanmarco
  • Hector Ivan Rodriguez
  • Antonio Arciénaga
  • Maria Eugenia Lagier
  • Iype Cherian
  • Hector Ricardo Formento