User Response to the Simulation of a Virtual Patient with Cranial Nerve Injury : Bio-Algorithms and Med-Systems BAMS uses cookies, tags, and tracking settings to store information that help give you the very best browsing experience.
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Bio-Algorithms and Med-Systems

Editor-in-Chief: Roterman-Konieczna , Irena

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User Response to the Simulation of a Virtual Patient with Cranial Nerve Injury

1 / Candelario Laserna1 / D. Scott Lind 1 / Chandni Kalaria1 / Tia Aryal1 / Benjamin Lok2 / Kyle Johnsen3 / Aaron Kotranza2 / Juan Cendan2 / J. Ned Pruitt1

1 Medical College of Georgia, USA

2 University of Florida, USA

3 University of Georgia, USA

Citation Information: Bio-Algorithms and Med-Systems BAMS. Volume 8, Pages 1–, ISSN (Online) 1896-530X, ISSN (Print) 1895-9091, DOI: 10.2478/bams-2012-0001, January 2012

Publication History



Technology has rarely attempted to simulate a CN exam. NERVE simulates a life-size virtual patient (VP), using speech recognition with a Nintendo Wiimote� serving as a virtual hand, ophthalmoscope, and eye-chart. This study assesses the introductory reception, ability to identify the CN lesion, and students' preference of NERVE. Our goal is to evaluate the responses from medical students, residents, and clinicians using the Neurological Examination Rehearsal Virtual Environment (NERVE), a cranial nerve (CN) exam simulator. Medical College of Georgia participants from a variety of medical specialties, including 9 clinicians, 7 residents, and 8 MS3 and 4s, 20 MS 2s, and 25 MS 1s performed a CN examination on a VP. There were no statistically significant differences in measures related to the actual performance of the exam, the controller, overall benefit of the experience, use of technology or satisfaction with the technology. Even with technical limitations, overall medical student's reported NERVE having educational value. Residents had the lowest rate of correct CN identification, indicating they could be the group that most benefits from repeat exposure to CN exams. Medical students and clinicians were the best groups at identifying the correct deficit for our simulation. The next step is to assess NERVE's capability to teach students and residents the cranial nerve exam.

Keywords: Cranial Nerve exam; neurological disease/diagnosis; communication; education-medical; user-computer interface; computer simulation; clinical clerkship

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