This course will help lay the foundation of your healthcare data journey and provide you with knowledge and skills necessary to work in the healthcare industry as a data scientist. Healthcare is unique because it is associated with continually evolving and complex processes associated with health management and medical care. We'll learn about the many facets to consider in healthcare and determine the value and growing need for data analysts in healthcare. We'll learn about the Triple Aim and other data-enabled healthcare drivers. We'll cover different concepts and categories of healthcare data and describe how ontologies and related terms such as taxonomy and terminology organize concepts and facilitate computation. We'll discuss the common clinical representations of data in healthcare systems, including ICD-10, SNOMED, LOINC, drug vocabularies (e.g., RxNorm), and clinical data standards. We’ll discuss the various types of healthcare data and assess the complexity that occurs as you work with pulling in all the different types of data to aid in decisions. We will analyze various types and sources of healthcare data, including clinical, operational claims, and patient generated data as well as differentiate unstructured, semi-structured and structured data within health data contexts. We'll examine the inner workings of data and conceptual harmony offer some solutions to the data integration problem by defining some important concepts, methods, and applications that are important to this domain.
This course is part of the Health Information Literacy for Data Analytics Specialization
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Course 1 of 4 in the
Intermediate Level
Approx. 13 hours to complete
English
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Try Coursera for BusinessFlexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 4 in the
Intermediate Level
Approx. 13 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
4 hours to complete
Healthcare 101
4 hours to complete
7 videos (Total 52 min), 1 reading, 1 quiz
4 hours to complete
Concepts and Categories
4 hours to complete
6 videos (Total 41 min)
3 hours to complete
Healthcare Data
3 hours to complete
6 videos (Total 45 min)
3 hours to complete
Data and Conceptual Harmony
3 hours to complete
7 videos (Total 44 min), 1 reading, 2 quizzes
Reviews
- 5 stars65.68%
- 4 stars21.56%
- 3 stars3.92%
- 2 stars5.88%
- 1 star2.94%
TOP REVIEWS FROM HEALTHCARE DATA LITERACY
by JJOct 16, 2022
Great course. Some formatting issues made quizzes hard to read, but overall great intro.
by ASApr 10, 2020
it' s the best experience among all the courses done
by BAMay 18, 2020
Thank you for keeping me on my clothes in this class
by DANov 24, 2019
Great overview to important topics but very conceptual.
About the Health Information Literacy for Data Analytics Specialization

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