About this Course

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Intermediate Level
Approx. 13 hours to complete
English
Subtitles: English
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 13 hours to complete
English
Subtitles: English

Offered by

University of California, Davis logo

University of California, Davis

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Why Data Quality Matters

2 hours to complete
6 videos (Total 34 min), 2 readings, 1 quiz
6 videos
Module 1 Introduction2m
Why Data is Collected and Defining Quality3m
Why Data Quality Matters, Part 17m
Why Data Quality Matters, Part 29m
How Data Quality Assessment Varies in Different Data Uses7m
2 readings
A Note From UC Davis10m
Data quality assessment for comparative effectiveness research in distributed data networks30m
1 practice exercise
Module 1 Quiz30m
Week
2

Week 2

4 hours to complete

Measuring Data Quality

4 hours to complete
7 videos (Total 34 min), 1 reading, 1 quiz
7 videos
Describing Metadata in Healthcare4m
Data Provenance in Healthcare4m
Components of Data Quality4m
Data Validation Methods5m
A Framework for Validating and Verifying Data6m
The SBAR Methodology7m
1 reading
Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research45m
1 practice exercise
Module 2 Quiz30m
Week
3

Week 3

2 hours to complete

Monitoring, Managing and Improving Data Quality

2 hours to complete
5 videos (Total 27 min)
5 videos
Establishing the Culture of Quality throughout the Data Lifecycle4m
Improving Data Quality from the Baseline7m
Managing Data Quality: Expected and Unexpected Changes5m
Monitoring Strategies Along the Data Pipeline8m
1 practice exercise
Module 3 Quiz30m
Week
4

Week 4

5 hours to complete

Sustaining Quality through Data Governance

5 hours to complete
6 videos (Total 28 min), 3 readings, 2 quizzes
6 videos
Defining Data Governance in Healthcare5m
Why Data Governance Matters in Healthcare8m
Data Governance Committees in Healthcare6m
Data Governance Systems in Healthcare5m
Course Summary58s
3 readings
Big Data, Bigger Outcomes30m
Welcome to Peer Review Assignments!10m
Why Doctors Hate Their Computers50m
1 practice exercise
Module 4 Quiz30m

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About the Health Information Literacy for Data Analytics Specialization

This Specialization is intended for data and technology professionals with no previous healthcare experience who are seeking an industry change to work with healthcare data. Through four courses, you will identify the types, sources, and challenges of healthcare data along with methods for selecting and preparing data for analysis. You will examine the range of healthcare data sources and compare terminology, including administrative, clinical, insurance claims, patient-reported and external data. You will complete a series of hands-on assignments to model data and to evaluate questions of efficiency and effectiveness in healthcare. This Specialization will prepare you to be able to transform raw healthcare data into actionable information....
Health Information Literacy for Data Analytics

Frequently Asked Questions

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  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

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  • This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

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