User Response to the Simulation of a Virtual Patient with Cranial Nerve Injury
-
Chen Lin
, Candelario Laserna
, D. Scott Lind , Chandni Kalaria , Tia Aryal , Benjamin Lok , Kyle Johnsen , Aaron Kotranza , Juan Cendan und J. Ned Pruitt
Abstract
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.
©Jagiellonian University, Medical College, Kraków, Poland, 2012
Artikel in diesem Heft
- User Response to the Simulation of a Virtual Patient with Cranial Nerve Injury
- Automatic Protein Abbreviations Discovery and Resolution from Full-Text Scientific Papers: The PRAISED Framework
- PROTEIN FOLD CLASSIFICATION BASED ON MACHINE LEARNING PARADIGM - A REVIEW
- A survey of FPGA implementations of Artificial Spiking Neurons Models
- Computer modelling of pentoxifylline release from a cylinder-shaped hydroxylapatite carrier
- HEXAPOD - SIX-LEGGED WALKING ROBOT CONTROLLED WITH TODA-RAYLEIGH LATTICE
- Realistic model of spine geometry in the human skeleton in the Vicon system
- Use and Usability of Health related E-services among the Senior Citizens
- New Approach to Prostate Diagnosis - Perfusion CT Images Analysis using "Life Belt" Method
- Research on the changes in voice quality caused by tonsillectomy
Artikel in diesem Heft
- User Response to the Simulation of a Virtual Patient with Cranial Nerve Injury
- Automatic Protein Abbreviations Discovery and Resolution from Full-Text Scientific Papers: The PRAISED Framework
- PROTEIN FOLD CLASSIFICATION BASED ON MACHINE LEARNING PARADIGM - A REVIEW
- A survey of FPGA implementations of Artificial Spiking Neurons Models
- Computer modelling of pentoxifylline release from a cylinder-shaped hydroxylapatite carrier
- HEXAPOD - SIX-LEGGED WALKING ROBOT CONTROLLED WITH TODA-RAYLEIGH LATTICE
- Realistic model of spine geometry in the human skeleton in the Vicon system
- Use and Usability of Health related E-services among the Senior Citizens
- New Approach to Prostate Diagnosis - Perfusion CT Images Analysis using "Life Belt" Method
- Research on the changes in voice quality caused by tonsillectomy