1. Analysis of virtual standardized patients for assessing clinical fundamental skills of medical students: a prospective study
- Author
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Xinyu Zhang, Duo Zeng, Xiandi Wang, Yaoyu Fu, Ying Han, Manqing He, Xiaoling Chen, and Dan Pu
- Subjects
Virtual standardized patient ,Standardized patient ,Simulation-based education ,Clinical skills ,History-taking ,Special aspects of education ,LC8-6691 ,Medicine - Abstract
Abstract Background History-taking is an essential clinical competency for qualified doctors. The limitations of the standardized patient (SP) in taking history can be addressed by the virtual standardized patient (VSP). This paper investigates the accuracy of virtual standardized patient simulators and evaluates the applicability of the improved system’s accuracy for diagnostic teaching support and performance assessment. Methods Data from the application of VSP to medical residents and students were gathered for this prospective study. In a human–machine collaboration mode, students completed exams involving taking SP histories while VSP provided real-time scoring. Every participant had VSP and SP scores. Lastly, using the voice and text records as a guide, the technicians will adjust the system’s intention recognition accuracy and speech recognition accuracy. Results The research revealed significant differences in scoring across several iterations of VSP and SP (p
- Published
- 2024
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