The Data Science of Health Informatics

所在平台: CourseraArchive

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大学或机构: CourseraNew

课程主页: https://www.coursera.org/archive/the-data-science-of-health-informatics

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Health data are notable for how many types there are, how complex they are, and how serious it is to get them straight. These data are used for treatment of the patient from whom they derive, but also for other uses. Examples of such secondary use of health data include population health (e.g., who requires more attention), research (e.g., which drug is more effective in practice), quality (e.g., is the institution meeting benchmarks), and translational research (e.g., are new technologies being applied appropriately). By the end of this course, students will recognize the different types of health and healthcare data, will articulate a coherent and complete question, will interpret queries designed for secondary use of EHR data, and will interpret the results of those queries.

健康信息学的数据科学:健康数据值得注意的是,有多少种类型,它们有多复杂,以及将它们弄清楚的重要性。这些数据用于治疗其来源的患者,也用于其他用途。卫生数据的此类二次使用的示例包括人口健康(例如,谁需要更多关注),研究(例如,哪种药物在实践中更有效),质量(例如,机构是否达到基准)和转化研究(例如,是适当应用的新技术)。到本课程结束时,学生将认识到不同类型的健康和保健数据,将阐明一个连贯而完整的问题,将解释为EHR数据的二次使用而设计的查询,并解释这些查询的结果。

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