Johns Hopkins University - The Data Science of Health Informatics
- Offered byCoursera
- Public/Government Institute
The Data Science of Health Informatics at Coursera Overview
Duration | 10 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
- Overview
- Highlights
- Course Details
- Curriculum
The Data Science of Health Informatics at Coursera Highlights
- This Course Plus the Full Specialization.
- Shareable Certificates.
- Graded Programming Assignments.
The Data Science of Health Informatics at Coursera Course details
- 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.
The Data Science of Health Informatics at Coursera Curriculum
Introduction to Databases and Data Types
Introduction to Databases
Databases in Clinical Informatics
Common Data Types I
Common Data Types II
Common Data Types III
Emerging Data Types
Module 1 Quiz
Data Sources and Data Challenges
Common Clinical Data Sources
Population-Level Data Sources
Data Challenges I
Data Challenges II
Data Challenges III
Module 2 Quiz
Formulating Data Questions
Formulating a Data Query I
Formulating a Data Query II
Real World Data Questions
i2b2 Demo
HealthData.Gov Demo
HCUPNet Demo
Module 3 Quiz
Real World Applications of Data Science in Health Informatics
Introduction
Interview with Sam Meiselman
Interview with Sam Meiselman, Part II
Interview with Bonnie Woods
Interview with Brandyn Lau, Part I
Interview with Brandyn Lau, Part II
Interview with Brandyn Lau, Part III
Wrap Up
Module 4 Quiz
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