Parker Elizabeth U, Reder Nicholas P, Glasser Daniel, Henriksen Jonathan, Kilgore Mark R, Rendi Mara H
Department of Pathology, University of Washington Medical Center, Seattle, WA, USA.
Acad Pathol. 2017 Feb 10;4:2374289517691061. doi: 10.1177/2374289517691061. eCollection 2017 Jan-Dec.
Medical students require a strong foundation in normal histology. However, current trends in medical school curricula have diminished time devoted to histology. Thus, there is a need for more efficient methods of teaching histology. We have developed a novel software program (Novel Diagnostic Educational Resource; https://pcs-webtest0.pathology.washington.edu/academics/pattern/) that uses annotated whole slide images to teach normal histology. Whole slide images of a wide variety of tissues were annotated by a trainee and validated by an experienced pathologist. Still images were extracted and transferred to the Novel Diagnostic Educational Resource web application. In Novel Diagnostic Educational Resource, an image was displayed briefly and the user was forced to identify the tissue type. The display time changed inversely based on cumulative accuracy to challenge the user and maintain engagement. A total of 129 second-year medical students completed the 30-minute Novel Diagnostic Educational Resource module. Surveys showed an increase in confidence from premodule (0% extremely confident, 4% very, 47% somewhat, and 49% not) to postmodule (9% extremely confident, 57% very, 32% somewhat, and 2% not), < .0001. Accuracy increased from 72.6% pretest to 95.7% posttest, < .002. The effect size (Cohen = 2.30) was very large, where 0.2 is a small effect, 0.5 moderate, and 0.8 large. Ninety-six percent of students would recommend Novel Diagnostic Educational Resource to other medical students, and 98% would use Novel Diagnostic Educational Resource to further enhance their histology knowledge. Novel Diagnostic Educational Resource drastically improved medical student accuracy in classifying normal histology and improved confidence. Additional study is needed to determine knowledge retention, but Novel Diagnostic Educational Resource has great potential for efficient teaching of histology given the curriculum time constraints in medical education.
医学生需要扎实的正常组织学基础。然而,医学院课程的当前趋势减少了用于组织学教学的时间。因此,需要更有效的组织学教学方法。我们开发了一种新颖的软件程序(新型诊断教育资源;https://pcs-webtest0.pathology.washington.edu/academics/pattern/),该程序使用带注释的全玻片图像来教授正常组织学。一名实习生对各种组织的全玻片图像进行注释,并由一位经验丰富的病理学家进行验证。提取静态图像并将其转移到新型诊断教育资源网络应用程序中。在新型诊断教育资源中,一张图像会短暂显示,用户必须识别组织类型。显示时间根据累积准确率呈反比变化,以挑战用户并保持参与度。共有129名二年级医学生完成了30分钟的新型诊断教育资源模块。调查显示,从模块前(0%非常自信、4%很自信、47%有些自信、49%不自信)到模块后(9%非常自信、57%很自信、32%有些自信、2%不自信),信心有所增加,P <.0001。准确率从测试前的72.6%提高到测试后的95.7%,P <.002。效应量(科恩d = 2.30)非常大,其中0.2为小效应,0.5为中等效应,0.8为大效应。96%的学生愿意向其他医学生推荐新型诊断教育资源,98%的学生愿意使用新型诊断教育资源来进一步增强他们的组织学知识。新型诊断教育资源极大地提高了医学生对正常组织学分类的准确率,并增强了信心。需要进一步研究以确定知识保留情况,但鉴于医学教育中的课程时间限制,新型诊断教育资源在高效组织学教学方面具有巨大潜力。