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

Chen Lin, Candelario Laserna, D. Scott Lind, Chandni Kalaria, Tia Aryal, J. Ned Pruitt, Benjamin Lok, Aaron Kotranza, Juan Cendan, Kyle Johnsen

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1
Number of pages1
JournalBio-Algorithms and Med-Systems
Issue number1
StatePublished - 2012


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

ASJC Scopus subject areas

  • General Computer Science
  • Medicine (miscellaneous)
  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Health Informatics


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