精神运动学习
客观结构化临床检查
终结性评价
医学教育
虚拟病人
验证性因素分析
教育测量
模拟病人
体格检查
医学
心理学
形成性评价
课程
计算机科学
结构方程建模
认知
数学教育
精神科
内科学
机器学习
教育学
作者
Hossam Hamdy,Jayadevan Sreedharan,Jerome I. Rotgans,Nabil Zary,Sola Aoun Bahous,Manda Venkatramana,Elsayed AbdelFattah Elzayat,Pankaj Lamba,Suraj K. Sebastian,Noha Kamal Abdel Momen
出处
期刊:Medical Teacher
[Taylor & Francis]
日期:2021-06-15
卷期号:43 (10): 1203-1209
被引量:15
标识
DOI:10.1080/0142159x.2021.1935828
摘要
The Corona Virus Disease-19 (COVID-19) pandemic disrupted medical education across the world. Online teaching has grown rapidly under lockdown. Yet the online approach for assessment presents a number of challenges, particularly when evaluating clinical competencies. The aim of this study was to investigate the feasibility, acceptability, reliability and validity of an online Virtual Clinical Encounter Examination (VICEE) to assess non-psychomotor competencies (non-procedure or manual skills) of medical students.Sixty-one final year medical students took the VICEE as part of the final summative examination. A panel of faculty experts developed the exam cases and competencies. They administered the test online via real-time interaction with artificial intelligence (AI) based virtual patients, along with faculty and IT support.Student and faculty surveys demonstrated satisfaction with the experience. Confirmatory factor analysis supported convergent validity of VICEE with Direct Observation Clinical Encounter Examination (DOCEE), a previously validated clinical examination. The observed sensitivity was 81.8%, specificity 64.1% and likelihood ratio 12.6, supporting the ability of VICEE to diagnose 'clinical incompetence' among students.Our results suggest that online AI-based virtual patient high fidelity simulation may be used as an alternative tool to assess some aspects of non-psychometric competencies.
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