Current practises and the future of robotic surgical training.


Journal

The surgeon : journal of the Royal Colleges of Surgeons of Edinburgh and Ireland
ISSN: 1479-666X
Titre abrégé: Surgeon
Pays: Scotland
ID NLM: 101168329

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 15 11 2022
revised: 23 02 2023
accepted: 28 02 2023
medline: 20 9 2023
pubmed: 18 3 2023
entrez: 17 3 2023
Statut: ppublish

Résumé

This study reviews the current state of robotic surgery training for surgeons, including the various curricula, training methods, and tools available, as well as the challenges and limitations of these. The authors carried out a literature search across PubMed, MEDLINE, and Google Scholar using keywords related to 'robotic surgery', 'computer-assisted surgery', 'simulation', 'virtual reality', 'surgical training', and 'surgical education'. Full text analysis was performed on 112 articles. The training program for robotic surgery should focus on proficiency, deliberation, and distribution principles. The curricula can be broadly split up into pre-console and console-side training. Pre-Console and Console-Side Training: Simulation training is an important aspect of robotic surgery training to improve technical skill acquisition and reduce mental workload, which helps prepare trainees for live procedures. The study also discusses the various validated assessment tools used for operative performance assessments. Finally, the authors propose potential future directions for robotic surgery training, including the use of emerging technologies such as AI and machine learning for real-time feedback, remote mentoring, and augmented reality platforms like Proximie to reduce costs and overcome geographic limitations. Standardisation in trainee performance assessment is needed. Each of the robotic curricula and platforms has strengths and weaknesses. The ERUS Robotic Curriculum represents an evidence-based example of how to implement training from novice to expert. Remote mentoring and augmented reality platforms can overcome the challenges of high equipment costs and limited access to experts. Emerging technologies offer promising advancements for real-time feedback and immersive training environments, improving patient outcomes.

Identifiants

pubmed: 36932015
pii: S1479-666X(23)00034-3
doi: 10.1016/j.surge.2023.02.006
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

314-322

Informations de copyright

Copyright © 2023 Royal College of Surgeons of Edinburgh (Scottish charity number SC005317) and Royal College of Surgeons in Ireland. Published by Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest No conflict of interests.

Auteurs

Ankit Sinha (A)

Lister Hospital, Hertfordshire and Bedfordshire Urological Cancer Centre, Stevenage, Hertfordshire, UK. Electronic address: ankit.sinha1@nhs.net.

Alexander West (A)

Lister Hospital, Hertfordshire and Bedfordshire Urological Cancer Centre, Stevenage, Hertfordshire, UK. Electronic address: alexander.west2@nhs.net.

Nikhil Vasdev (N)

Lister Hospital, Hertfordshire and Bedfordshire Urological Cancer Centre, Stevenage, Hertfordshire, UK; University of Hertfordshire, School of Life and Medical Sciences, Hatfield, Hertfordshire, UK. Electronic address: nikhil.vasdev@nhs.net.

Prasanna Sooriakumaran (P)

UCLH, London, UK. Electronic address: prasanna.sooriakumaran@nhs.net.

Abhay Rane (A)

East Surrey Hospital, Redhill, Surrey, UK. Electronic address: Abhay.rane@rcpsg.ac.uk.

Prokar Dasgupta (P)

MRC Centre for Transplantation, King's College London, King's Health Partners, Department of Urology, London, UK. Electronic address: prokar.dasgupta@kcl.ac.uk.

Michael McKirdy (M)

Royal College of Physicians and Surgeons of Glasgow, Glasgow, UK. Electronic address: Mike.McKirdy@rcpsg.ac.uk.

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