Healthcare Data Literacy
This course is part of Health Information Literacy for Data Analytics.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Health Information Literacy for Data Analytics Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Understand healthcare systems and their data needs
Master clinical terminologies and standardization
Analyze different types of healthcare data
Implement data harmonization techniques
Work with healthcare ontologies and taxonomies
Develop healthcare data integration skills
Skills you'll gain
This course includes:
3 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course provides a foundation in healthcare data literacy, focusing on the unique aspects of healthcare data management and analysis. The curriculum covers essential topics including healthcare systems, clinical terminologies, data types, and data harmonization. Students learn about various healthcare data sources, standardization methods, and integration techniques while developing practical skills in healthcare data analysis.
Healthcare 101
Module 1 · 3 Hours to complete
Concepts and Categories
Module 2 · 3 Hours to complete
Healthcare Data
Module 3 · 2 Hours to complete
Data and Conceptual Harmony
Module 4 · 3 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Health Information Literacy for Data Analytics
Instructor
Expert in Health Informatics and Cultural Research
Brian Paciotti received a PhD in Human Ecology from the University of California, Davis. His dissertation utilized ethnographic methods and experimental economic games to explore cooperative behavior among Tanzanian ethnic groups. Following an incident where the Tanzanian government accused him of being a CIA spy, he left the country and shifted his focus to analyzing U.S. homicide data.
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Frequently asked questions
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