About this Course
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Flexible deadlines

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Intermediate Level

Approx. 10 hours to complete

Suggested: 4 weeks of study, 2-5 hours/week...

English

Subtitles: English

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 10 hours to complete

Suggested: 4 weeks of study, 2-5 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
3 hours to complete

Introduction to Healthcare Data Models

10 videos (Total 58 min), 1 reading, 1 quiz
10 videos
Module 1 Introduction52s
What is a Data Model?6m
Speaking the Same Language and Capturing the Context6m
The Uniqueness of Data Models as Used in Healthcare6m
Path to Value: Operational Systems to Actionable Information, Part 17m
Path to Value: Operational Systems to Actionable Information, Part 26m
Data Flows among Systems and Keeping Systems Connected7m
What We're Measuring in Healthcare Data Models, Part 17m
What We're Measuring in Healthcare Data Models, Part 25m
1 reading
A Note From UC Davis10m
1 practice exercise
Module 1 Quiz30m
Week
2
2 hours to complete

Data Models and Use Cases They Support

6 videos (Total 33 min), 1 quiz
6 videos
Selecting a Data Model9m
The Hierarchical Model and Supported Use Cases5m
The Relational Schema and Supported Use Cases6m
The Star Schema and Supported Use Cases6m
Comparing and Contrasting Healthcare Data Models5m
1 practice exercise
Module 2 Quiz30m
Week
3
3 hours to complete

Working with Data across Systems

5 videos (Total 41 min), 1 quiz
5 videos
Purpose, Use Cases, and Measurements in Healthcare Data8m
Normalization of Healthcare Data6m
Integrating Healthcare Data Across Sources and Systems10m
Common Identifiers and The Master Patient Index (MPI)14m
1 practice exercise
Module 3 Quiz30m
Week
4
5 hours to complete

Improving the Quality of Healthcare Data

5 videos (Total 27 min), 3 readings, 2 quizzes
5 videos
Data Quality: Driven by Questions We Ask and Levels of Use8m
Verification and Validation of Data for Consistency: Finding Data Errors8m
Data Mapping7m
Course Summary1m
3 readings
Data Mapping article from AHIMA30m
What Mapping and Modeling Means to the Health Information Management Professional30m
Welcome to Peer Review Assignments!10m
1 practice exercise
Module 4 Quiz30m
4.1
5 ReviewsChevron Right

Top reviews from Healthcare Data Models

By JAJun 29th 2019

Healthcare Data Models is a great course that elaborately exposed various models relevant for healthcare data analysis.\n\nDoug did a very good job.

By RTMar 5th 2019

Great examples and reinforces what the goals of each module are.

Instructor

Avatar

Doug Berman

Director, Data Acquisition and Architecture
UC Davis Health System

About University of California, Davis

UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact....

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

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

More questions? Visit the Learner Help Center.