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Failure mode and effects analysis in designing a virtual reality‐based training simulator for bilateral sagittal split osteotomy
Author(s) -
Sofronia R. E.,
Knott T.,
Davidescu A.,
Savii G. G.,
Kuhlen T.,
Gerressen M.
Publication year - 2013
Publication title -
the international journal of medical robotics and computer assisted surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 53
eISSN - 1478-596X
pISSN - 1478-5951
DOI - 10.1002/rcs.1483
Subject(s) - computer science , virtual reality , simulation , mode (computer interface) , sagittal plane , osteotomy , training (meteorology) , physical medicine and rehabilitation , human–computer interaction , orthodontics , medicine , physics , meteorology , radiology
Background Virtual reality‐based simulators offer a cost‐effective and efficient alternative to traditional medical training and planning. Developing a simulator that enables the training of medical skills and also supports recognition of errors made by the trainee is a challenge. The first step in developing such a system consists of error identification in the real procedure, in order to ensure that the training environment covers the most significant errors that can occur. This paper focuses on identifying the main system requirements for an interactive simulator for training bilateral sagittal split osteotomy (BSSO). Methods An approach is proposed based on failure mode and effects analysis (FMEA), a risk analysis method that is well structured and already an approved technique in other domains. Results Based on the FMEA results, a BSSO training simulator is currently being developed, which centres upon the main critical steps of the procedure (sawing and splitting) and their main errors. Conclusions FMEA seems to be a suitable tool in the design phase of developing medical simulators. Herein, it serves as a communication medium for knowledge transfer between the medical experts and the system developers. The method encourages a reflective process and allows identification of the most important elements and scenarios that need to be trained. Copyright © 2013 John Wiley & Sons, Ltd.