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.
This course is part of the Health Informatics Specialization
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About this Course
While there are no prerequisites, prior experience with, or knowledge of, health, healthcare, technology, and statistics are helpful.
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Try Coursera for BusinessWhat you will learn
Articulate different forms of clinical and population level data.
Describe the data required to answer a healthcare information problem.
Distinguish between data questions and data queries when dealing with a healthcare information problem.
Skills you will gain
- Data Science
- Database (DBMS)
- Data Analysis
- Health Informatics
- data querying
While there are no prerequisites, prior experience with, or knowledge of, health, healthcare, technology, and statistics are helpful.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Introduction to Databases and Data Types
Data Sources and Data Challenges
Formulating Data Questions
Real World Applications of Data Science in Health Informatics
Reviews
- 5 stars73.03%
- 4 stars20.78%
- 3 stars2.80%
- 2 stars1.12%
- 1 star2.24%
TOP REVIEWS FROM THE DATA SCIENCE OF HEALTH INFORMATICS
this was exhirilating and intence..its worth going for...
Very Good. I Enjoy So much this course. It is really easy to understand and the presenter are excellent. Very recommended.
It's a good course overall. However, more practical assignments can be offered to develop marketable skills.
The data query or fetching information from sources can be explored more.
About the Health Informatics Specialization

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