医疗保健中的大数据:一个跨专业课程
Margaret J Calcote1, Joshua R Mann, Kim G Adcock
1Author Affiliations: Assistant Professor (Dr Calcote), The University of Mississippi Medical Center School of Nursing, Jackson; Professor and Chair (Dr Mann), Department of Preventive Medicine, The University of Mississippi Medical Center School of Medicine, Jackson; Professor (Dr Adcock), Pharmacy Division, The University of Mississippi Medical Center School of Pharmacy, Jackson; Professor (Dr Duckworth), The University of Mississippi Medical Center Division of Internal Medicine, Jackson; and Medical Student M3 (Mr Donald), The University of Mississippi Medical Center School of Medicine, Jackson.
医疗保健专业人员需要接受培训,以分析电子健康记录 (EHR) 大数据. 一个在线课程使跨专业的学生能够分析EHR数据,改进基于数据的医疗保健决策.
科学领域:
- 医疗信息学 医疗信息学
- 在医疗保健中的数据科学.
- 医学教育 医学教育
背景情况:
- 电子健康记录 (EHR) 产生了庞大的数据集.
- 欧洲卫生健康系统的大数据可以识别改善医疗保健的模式.
- 在现代医疗保健中,数据驱动的决策至关重要.
研究的目的:
- 为医疗保健专业人员提供技能,以导航数字化卫生环境.
- 将大数据分析整合到卫生专业教育中.
- 促进在分析健康数据方面的专业间合作.
主要方法:
- 开发了一个异步在线课程.
- 教师结合了大数据概念和EHR分析.
- 一个跨专业的学生组合分析了来自100多万患者的EHR大数据.
主要成果:
- 学生对特定诊断的患者队伍进行描述性分析.
- 跨专业团队使用了数据可视化工具.
- 关于被指定的诊断患者群体的发现被介绍.
结论:
- 专业间的协作增强了EHR的大数据分析.
- 学生在分析大规模健康数据集方面获得了实践经验.
- 该课程成功地为学生准备了数据丰富的医疗保健环境.
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