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Mapping the robotic hysterectomy learning curve and re-establishing surgical training metrics
OBJECTIVE: Common robotic training curricula in the US entail completion of an online module followed by lab training with standardized exercises, such as manipulating needles with robotic needle drivers. Assessments are generally limited to elapsed time and subjective proficiency. We sought to test...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Asian Society of Gynecologic Oncology; Korean Society of Gynecologic Oncology; Japan Society of Gynecologic Oncology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8192241/ https://www.ncbi.nlm.nih.gov/pubmed/33908711 http://dx.doi.org/10.3802/jgo.2021.32.e58 |
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author | Turner, Taylor B. Kim, Kenneth H. |
author_facet | Turner, Taylor B. Kim, Kenneth H. |
author_sort | Turner, Taylor B. |
collection | PubMed |
description | OBJECTIVE: Common robotic training curricula in the US entail completion of an online module followed by lab training with standardized exercises, such as manipulating needles with robotic needle drivers. Assessments are generally limited to elapsed time and subjective proficiency. We sought to test the feasibility of a simulation-based robotic hysterectomy curriculum to collect objective measurements of trainee progress, map the trainee learning curve and provide a system for trainee-specific evaluation. METHODS: An observational cohort study of a single institutions' residency members participating in a procedural hysterectomy simulation performed every 4 months. Each simulation episode had one-on-one teaching. The robotic platform was used to measure all movements within cartesian coordinates, the number of clutches, instrument collisions, time to complete the simulated hysterectomy, and unintended injuries during the procedure. RESULTS: Voluntary participation was high. Objective metrics were successfully recorded at each session and improved nearly universally. More senior residents demonstrated superior capabilities compared to junior residents as expected. The majority of residents (29/31) were able to complete an entire simulated hysterectomy in the allotted 30-minute training session period by the end of the year. CONCLUSIONS: This program establishes learning curves based on objective data points using a risk-free simulation platform. The curves can then be used to evaluate trainee skill level and tailor teaching to specific objective competencies. The pilot curriculum can be tailored to the unique needs of each surgical discipline's residency training. |
format | Online Article Text |
id | pubmed-8192241 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Asian Society of Gynecologic Oncology; Korean Society of Gynecologic Oncology; Japan Society of Gynecologic Oncology |
record_format | MEDLINE/PubMed |
spelling | pubmed-81922412021-07-01 Mapping the robotic hysterectomy learning curve and re-establishing surgical training metrics Turner, Taylor B. Kim, Kenneth H. J Gynecol Oncol Original Article OBJECTIVE: Common robotic training curricula in the US entail completion of an online module followed by lab training with standardized exercises, such as manipulating needles with robotic needle drivers. Assessments are generally limited to elapsed time and subjective proficiency. We sought to test the feasibility of a simulation-based robotic hysterectomy curriculum to collect objective measurements of trainee progress, map the trainee learning curve and provide a system for trainee-specific evaluation. METHODS: An observational cohort study of a single institutions' residency members participating in a procedural hysterectomy simulation performed every 4 months. Each simulation episode had one-on-one teaching. The robotic platform was used to measure all movements within cartesian coordinates, the number of clutches, instrument collisions, time to complete the simulated hysterectomy, and unintended injuries during the procedure. RESULTS: Voluntary participation was high. Objective metrics were successfully recorded at each session and improved nearly universally. More senior residents demonstrated superior capabilities compared to junior residents as expected. The majority of residents (29/31) were able to complete an entire simulated hysterectomy in the allotted 30-minute training session period by the end of the year. CONCLUSIONS: This program establishes learning curves based on objective data points using a risk-free simulation platform. The curves can then be used to evaluate trainee skill level and tailor teaching to specific objective competencies. The pilot curriculum can be tailored to the unique needs of each surgical discipline's residency training. Asian Society of Gynecologic Oncology; Korean Society of Gynecologic Oncology; Japan Society of Gynecologic Oncology 2021-04-12 /pmc/articles/PMC8192241/ /pubmed/33908711 http://dx.doi.org/10.3802/jgo.2021.32.e58 Text en Copyright © 2021. Asian Society of Gynecologic Oncology, Korean Society of Gynecologic Oncology, and Japan Society of Gynecologic Oncology https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Turner, Taylor B. Kim, Kenneth H. Mapping the robotic hysterectomy learning curve and re-establishing surgical training metrics |
title | Mapping the robotic hysterectomy learning curve and re-establishing surgical training metrics |
title_full | Mapping the robotic hysterectomy learning curve and re-establishing surgical training metrics |
title_fullStr | Mapping the robotic hysterectomy learning curve and re-establishing surgical training metrics |
title_full_unstemmed | Mapping the robotic hysterectomy learning curve and re-establishing surgical training metrics |
title_short | Mapping the robotic hysterectomy learning curve and re-establishing surgical training metrics |
title_sort | mapping the robotic hysterectomy learning curve and re-establishing surgical training metrics |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8192241/ https://www.ncbi.nlm.nih.gov/pubmed/33908711 http://dx.doi.org/10.3802/jgo.2021.32.e58 |
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