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.
- 5 stars73.25%
- 4 stars20.93%
- 3 stars2.32%
- 2 stars1.16%
- 1 star2.32%
來自THE DATA SCIENCE OF HEALTH INFORMATICS的熱門評論
Very Good. I Enjoy So much this course. It is really easy to understand and the presenter are excellent. Very recommended.
It gave me a very in dept understanding of different DataBases and how they are being used in the modern health care space. I would recommend it to someone who has some experience in health care.
best information with good teaching staff during all this course i was thinking to to john hopkins university to continue my education
Great overview of the more technical side, mostly database management, of health informatics.