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首页> 外文期刊>Gastrointestinal Endoscopy >Computer-aided learning in capsule endoscopy leads to improvement in lesion recognition ability.
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Computer-aided learning in capsule endoscopy leads to improvement in lesion recognition ability.

机译:胶囊内窥镜中的计算机辅助学习可提高病变识别能力。

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BACKGROUND: The rapid expansion in use of capsule endoscopy (CE) has led to discussion about training needs and provision. The lesion recognition skills required for CE are ideally suited to computer-based training. OBJECTIVE: The aim of this study was to prospectively evaluate the educational effectiveness of a computer-based CE training and testing module on trainees with varying experience. DESIGN: This was a prospective educational evaluation study. SETTING: Academic endoscopy unit. PATIENTS: This study involved 28 trainees of varying CE experience (medical students, gastroenterology trainees) and 4 CE experts. INTERVENTION: Trainees (medical students and gastroenterology trainees) without CE experience completed a 60-question, computer-based test module consisting of 30-second video clips and multiple-choice questions. Without feedback, trainees then completed a comprehensive, menu-driven, computer-based CE training module. The test module was then completed a second time and feedback was given. Expert performance on the test module was benchmarked by 4 CE experts. MAIN OUTCOME MEASUREMENTS: The first measure was the difference in baseline performance on the test module between trainees and experts (to determine construct validity). The second measure was a change in performance on the test module after training (to determine content validity of the training module). RESULTS: A significant difference was noted in baseline performance (P < .001) among CE experts (mean 73.8% +/- 8.0%), gastroenterology trainees (49.5% +/- 10.9%), and medical students (29.5% +/- 3.3%). Performance improved significantly (P < .001) in both trainee groups after training (gastroenterology trainees' posttraining score 62.1% +/- 7.7%; medical students' 46.7% +/- 6.8%). CONCLUSION: Computer-based learning has a potentially significant role in the development of a training syllabus for CE and in CE accreditation.
机译:背景技术:胶囊内窥镜(CE)的使用迅速扩展,引发了有关培训需求和提供的讨论。 CE所需的病变识别技能非常适合基于计算机的培训。目的:本研究的目的是前瞻性地评估基于计算机的CE培训和测试模块对具有不同经验的受训者的教育效果。设计:这是一项前瞻性的教育评估研究。单位:学术内窥镜科。患者:这项研究涉及28位具有不同CE经验的受训人员(医学生,胃肠病学受训人员)和4位CE专家。干预:没有CE经验的受训人员(医学生和胃肠病学受训人员)完成了一个60题的计算机测试模块,包括30秒的视频剪辑和多项选择题。在没有反馈的情况下,受训人员随后完成了一个全面的,基于菜单的,基于计算机的CE培训模块。然后第二次完成测试模块,并给出了反馈。测试模块的专家性能以4位CE专家为基准。主要观察指标:第一个指标是受训人员和专家在测试模块上的基线表现的差异(以确定结构的有效性)。第二项措施是训练后测试模块的性能变化(以确定训练模块的内容有效性)。结果:CE专家(平均73.8%+/- 8.0%),胃肠病学受训者(49.5%+/- 10.9%)和医科学生(29.5%+/-)的基线表现(P <.001)存在显着差异。 -3.3%)。培训后,两组学员的表现均显着提高(P <.001)(胃肠病学学员的培训后分数为62.1%+/- 7.7%;医学生的为46.7%+/- 6.8%)。结论:基于计算机的学习在制定CE培训大纲和CE认证中具有潜在的重要作用。

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