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.
While there are no prerequisites, prior experience with, or knowledge of, health, healthcare, technology, and statistics are helpful.
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来自THE DATA SCIENCE OF HEALTH INFORMATICS的热门评论
Very Good. I Enjoy So much this course. It is really easy to understand and the presenter are excellent. Very recommended.
Great overview of the more technical side, mostly database management, of health informatics.
It's a good course overall. However, more practical assignments can be offered to develop marketable skills.
best information with good teaching staff during all this course i was thinking to to john hopkins university to continue my education