@Article{信息:doi 10.2196 / / jmir。3322，作者="Liaw Sok Ying and Chan, Sally waichi and Chen, Fun-Gee and Hooi, Shing Chuan and Siau, Chiang"，标题="虚拟病人模拟与基于人体模型的模拟在评估和管理临床恶化中的临床表现的比较:随机对照试验"，期刊="J Med Internet Res"，年="2014"，月="Sep"，日="17"，卷="16"，数="9"，页数="e214"，关键词="模拟;教育;虚拟病人;恶化;临床表现;背景:虚拟患者模拟在医疗保健教育中得到了长足的发展。虚拟病人模拟开发作为复习培训课程，以加强护理临床表现在评估和管理恶化的病人。目的:本研究的目的是描述虚拟病人模拟的发展，并评价其效果，通过比较传统的基于人体模型的模拟，以提高护生在评估和管理临床恶化病人的表现。方法:通过电子邮件招募57名三年级护理学生进行随机对照研究。 After a baseline evaluation of all participants' clinical performance in a simulated environment, the experimental group received a 2-hour fully automated virtual patient simulation while the control group received 2-hour facilitator-led mannequin-based simulation training. All participants were then re-tested one day (first posttest) and 2.5 months (second posttest) after the intervention. The participants from the experimental group completed a survey to evaluate their learning experiences with the newly developed virtual patient simulation. Results: Compared to their baseline scores, both experimental and control groups demonstrated significant improvements (P<.001) in first and second post-test scores. While the experimental group had significantly lower (P<.05) second post-test scores compared with the first post-test scores, no significant difference (P=.94) was found between these two scores for the control group. The scores between groups did not differ significantly over time (P=.17). The virtual patient simulation was rated positively. Conclusions: A virtual patient simulation for a refreshing training course on assessing and managing clinical deterioration was developed. Although the randomized controlled study did not show that the virtual patient simulation was superior to mannequin-based simulation, both simulations have demonstrated to be effective refresher learning strategies for improving nursing students' clinical performance. Given the greater resource requirements of mannequin-based simulation, the virtual patient simulation provides a more promising alternative learning strategy to mitigate the decay of clinical performance over time. ", issn="1438-8871", doi="10.2196/jmir.3322", url="//www.mybigtv.com/2014/9/e214/", url="https://doi.org/10.2196/jmir.3322", url="http://www.ncbi.nlm.nih.gov/pubmed/25230684" }