Virtual Patient as a Simulation-Based Learning Tool to Help Students Learn Clinical Reasoning Skills in Medicine
Journal Title: International Journal of Medical Research Professionals - Year 2018, Vol 4, Issue 1
Abstract
Background: Numerous instructional methods are used in medical education, including interactive lectures, problem-based learning, case-based learning, and bedside teaching. Bedside teaching provides students with a real-life experience interacting with patients. Therefore, researchers have been working to create computer programs with virtual patients that simulate live patients, which aim to improve medical student clinical reasoning skills without the need of live patients. Objective: We conduct this study to find out the perception and to know the benefit of the diagnostic reasoning program for the medical students as learning tool at College of Medicine, King Saud university. Methods: A cross-section study was conducted at College of Medicine, King Saud University, Riyadh, Saudi Arabia from November 2014 until March 2015. A pretested self-administered questionnaire was handled to 321 medical undergraduate students from the third, fourth and the fifth year of both genders and selected randomly. Data was entered into Microsoft Office Excel 2007 then exported to SPSS version 21.0 for data analysis. Qualitative and quantitative data collection methods and Chi-Square test were used. Results: The results were divided into ten categories according to five themes: learning, specialty, assessment, authenticity, and implementation. In correlation with our reviewed literature, one of the primary targets of virtual patients is to stimulate relative thinking and problem- solving. The students claimed that it was an enjoyable experience that allowed them to practice their skills in history taking, physical examination, ordering investigations and treating accordingly. It was also found that student satisfaction increased relative to the number of cases they attempted (p < 0.05).
Authors and Affiliations
Abdullah Ali Al-Qahtani, Abdulmajeed Al-Drees
Keywords
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- EP ID EP530237
- DOI 10.21276/ijmrp.2018.4.1.082
- Views 76
- Downloads 0
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