About this Course
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Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 9 hours to complete

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

English

Subtitles: English
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 9 hours to complete

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

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
Hours to complete
3 hours to complete

Introduction to Healthcare Data Models

In this module, you will be able to define the foundational terms used in discussing and building healthcare data models. You'll be able to describe the conceptual model showing how data flows from operations to analysis. You will compare and contrast common data models used in healthcare data systems. You will also be able to identify common measures used in healthcare data analysis. ...
Reading
10 videos (Total 58 min), 1 reading, 1 quiz
Video10 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
Reading1 reading
A Note From UC Davis10m
Quiz1 practice exercise
Module 1 Quiz30m
Week
2
Hours to complete
2 hours to complete

Data Models and Use Cases They Support

In this module, you'll be able to describe the Star Schema Data Model, distinguish it from the hierarchical and relational model, list some pros and cons and explain situations in which it could be appropriately used. You should also recognize when another type of data model might be better suited to a particular use case....
Reading
6 videos (Total 33 min), 1 quiz
Video6 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
Quiz1 practice exercise
Module 2 Quiz30m
Week
3
Hours to complete
3 hours to complete

Working with Data across Systems

In this module, you'll be able to explain how information is stored in data models and how we assemble relevant information to analyze an interesting problem that can improve our healthcare systems. We'll review how we normalize data and how that facilitates analysis. We'll go on to discuss how to bring together information from different sources and across various functional systems. We will also consider how to measure it accurately. ...
Reading
5 videos (Total 41 min), 1 quiz
Video5 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
Quiz1 practice exercise
Module 3 Quiz30m
Week
4
Hours to complete
5 hours to complete

Improving the Quality of Healthcare Data

In this module, you will be able to examine the data that goes into these models and explain how we work with the information that comes from the practice and business of medicine. We will transition from raising the data quality to focusing on finding and correcting data errors by validation and verification. You will also be able to describe several ways data is checked to eliminate errors and improve data quality. ...
Reading
5 videos (Total 27 min), 3 readings, 2 quizzes
Video5 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
Reading3 readings
Data Mapping article from AHIMA30m
What Mapping and Modeling Means to the Health Information Management Professional30m
Welcome to Peer Review Assignments!10m
Quiz1 practice exercise
Module 4 Quiz30m

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.