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Bolstering diagnostic reasoning skills with adaptive learning

机译:通过自适应学习润装诊断推理技能

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摘要

Purpose: Adaptive learning emerges when precise assessment informs delivery of educational materials. This study will demonstrate how data from Human Dx, a case-based e-learning platform, can characterize an individual's diagnostic reasoning skills, and deliver tailored content to improve accuracy.Methods: Pearson Chi-square analysis was used to assess variability in accuracy across three groups of participants (attendings, residents, and medical students) and three categories of cases (core medical, surgical, and other). Logistic regression analyses were conducted to explore the relationship between solve duration and accuracy. Mean accuracy and duration were calculated for 370 individuals. Repeated measures analysis of variance (ANOVA) were used to assess variability for an individual solver across the three categories.Results: There were significant differences in accuracy across the three groups and the three categories (p0.001). Individual solvers have significant variance in accuracy across the three categories. Shorter solve duration predicted higher accuracy. Patterns of performance were identified; four profiles are highlighted to demonstrate potential adaptive learning interventions.Conclusions: Human Dx can assess diagnostic reasoning skills. When weaknesses are identified, adaptive learning strategies can push content to promote skill development. This has implications for customizing curricular elements to improve the diagnostic skills of healthcare professionals.
机译:目的:当精确评估信息通知提供教育材料时,自适应学习出现。本研究将展示人类DX数据,以基于案例的电子学习平台,可以表征个人的诊断推理技能,并提供量身定制的内容以提高准确性。方法:Pearson Chi-Square分析用于评估可变性的准确性三组参与者(参加,居民,医学生)和三类病例(核心医疗,手术等)。进行逻辑回归分析以探索解决持续时间和准确性之间的关系。为370个个人计算了平均准确性和持续时间。反复措施方差分析(ANOVA)用于评估跨三个类别的各个求解器的可变性。结果:三组的准确性有显着差异(P <0.001)。各个求解器在三个类别的准确性方差显着。更短的解决持续时间预测更高的准确性。确定了性能模式;突出显示四个简档以展示潜在的自适应学习干预措施。结论:人体DX可以评估诊断推理技能。当确定弱点时,自适应学习策略可以推动内容以促进技能发展。这有助于定制课程元素,以提高医疗保健专业人员的诊断技能。

著录项

  • 来源
    《Medical teacher》 |2018年第8期|共5页
  • 作者单位

    Univ Missouri Dept Community &

    Family Med Kansas City MI USA;

    Univ Calif Los Angeles Dept Pediat Los Angeles CA 90024 USA;

    Medstar Washington Hosp Ctr Dept Crit Care Med Washington DC USA;

    Human Diag Project Nonprofit Washington DC USA;

    Human Diag Project Nonprofit Washington DC USA;

    Univ Missouri Dept Biomed &

    Hlth Informat Kansas City MI USA;

    Johns Hopkins Univ Sch Med Div Gen Internal Med Johns Hopkins Bayview Med Ctr Baltimore MD USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 医药、卫生;
  • 关键词

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