Acquisition and maintenance of endoscopic skills: developing an endoscopic dexterity training system for anesthesiologists

Marsland, Colin; Robinson, Brian; Chitty, Chris H; Guy, Bernard

doi:10.1016/s0952-8180(02)00456-7

Cited by 29 publications

(18 citation statements)

References 18 publications

(20 reference statements)

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“…Due to the costs of the development and their production, only a small number of commercial bronchoscopy VRS are available (Table 1). An example of a complex training system is the Dexter™ (Replicant, Wellington, New Zealand), which is a modular, non-anatomical endoscopic dexterity training system, composed of a series of channels and images [37,38]. Although not a true VRS model, this system has been shown to improve dexterity-related psychomotor skills essential for bronchoscopy.…”

Section: Virtual Reality Bronchoscopy Simulatorsmentioning

confidence: 99%

Developments in Simulation Bronchoscopy Training

Kastelik

Chowdhury²,

Pathmanathan³

et al. 2013

OJRD

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Flexible bronchoscopy is a common procedure. Training in bronchoscopy is a complex process involving learning technical skills, understanding indications and contraindications, risks and benefits of the procedure, working within the team and communicating with patients. It is expected that a competent bronchoscopist is able to maneuver the scope through the anatomically complex bronchial tree, take samples, manage the sedated patient and communicate with nursing staff. Learning the complex procedural skills in the clinical setting can be stressful, therefore current bronchoscopic training methodology should blend a number of learning methods including didactic lectures, web-based material, high and low fidelity simulators as well as supervised apprenticeship training. Simulation-based bronchoscopy training therefore has been explored as a mode of training bronchoscopy skills. In this article, the role of simulation-based bronchoscopy training is reviewed. The low fidelity and high fidelity virtual reality bronchoscopy models are described together with the evidence available to support the use of simulation for bronchoscopy training.

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Section: Virtual Reality Bronchoscopy Simulatorsmentioning

confidence: 99%

Developments in Simulation Bronchoscopy Training

Kastelik

Chowdhury²,

Pathmanathan³

et al. 2013

OJRD

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show abstract

“…Simulation-based training has been proposed as a way to developing health professionals' knowledge and skills, whilst protecting patients from unnecessary risk. Virtual-reality simulators have been demonstrated to be effective as a training tool to improve technical skills, even when compared with conventional training methods [5,6], as have training tools using dexterity [7]. …”

Section: Introductionmentioning

confidence: 99%

Assessment of Competence in Simulated Flexible Bronchoscopy Using Motion Analysis

et al. 2015

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Background: Flexible bronchoscopy should be performed with a correct posture and a straight scope to optimize bronchoscopy performance and at the same time minimize the risk of work-related injuries and endoscope damage. Objectives: We aimed to test whether an automatic motion analysis system could be used to explore if there is a correlation in scope movements and the operator's level of experience. Our hypothesis was that experienced bronchoscopists move less and keep the flexible scope straighter than less-experienced bronchoscopists while performing procedures. Methods: Eleven novices, 9 intermediates and 9 experienced bronchoscopy operators performed 3 procedures each on a bronchoscopy simulator. The Microsoft Kinect system was used to automatically measure the total deviation of the scope from a perfectly straight, vertical line. Results: The low-cost motion analysis system could measure the accumulated deviation of the scope precisely during the procedure. The deviations were greatest for the novices and smallest for the most experienced operators for all 3 procedures (p = 0.01, p = 0.01 and p = 0.04, respectively). The total deviation from the straight scope correlated negatively with the performance on the simulator (virtual-reality simulator score; p < 0.001). Conclusion: The motion analysis system could discriminate between different levels of experience. Automatic feedback on correct movements during self-directed training on simulators might help new bronchoscopists learn how to handle the bronchoscope like an expert.

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“…We hypothesise that scoping a patient-specific model immediately before instrumentation may provide the anaesthetist with valuable anatomical information, not previously appreciated on the CT scan. Furthermore, a model will allow practitioners to practice manoeuvres to negotiate difficult anatomy, without traumatising the airway and while experiencing physical feedback that is absent in virtual endoscopy [3]. The 4th National Audit Project (NAP4) highlighted the deficit in fibreoptic intubation training and assessment, which has also recently been discussed [4,5].…”

Section: -D Printing In Anaesthesia: Challenges and Controversiesmentioning

confidence: 99%