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There are 4 modules in this course
Career prospects are bright for those qualified to work in healthcare data analytics. Perhaps you work in data analytics, but are considering a move into healthcare where your work can improve people’s quality of life. If so, this course gives you a glimpse into why this work matters, what you’d be doing in this role, and what takes place on the Path to Value where data is gathered from patients at the point of care, moves into data warehouses to be prepared for analysis, then moves along the data pipeline to be transformed into valuable insights that can save lives, reduce costs, to improve healthcare and make it more accessible and affordable. Perhaps you work in healthcare but are considering a transition into a new role. If so, this course will help you see if this career path is one you want to pursue. You’ll get an overview of common data models and their uses. You’ll learn how various systems integrate data, how to ensure clear communication, measure and improve data quality. Data analytics in healthcare serves doctors, clinicians, patients, care providers, and those who carry out the business of improving health outcomes. This course of study will give you a clear picture of data analysis in today’s fast-changing healthcare field and the opportunities it holds for you.
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.
Speaking the Same Language and Capturing the Context•7 minutes
The Uniqueness of Data Models as Used in Healthcare•7 minutes
Path to Value: Operational Systems to Actionable Information, Part 1•8 minutes
Path to Value: Operational Systems to Actionable Information, Part 2•6 minutes
Data Flows among Systems and Keeping Systems Connected•8 minutes
What We're Measuring in Healthcare Data Models, Part 1•7 minutes
What We're Measuring in Healthcare Data Models, Part 2•6 minutes
1 reading•Total 10 minutes
A Note From UC Davis•10 minutes
1 assignment•Total 30 minutes
Module 1 Quiz•30 minutes
3 discussion prompts•Total 75 minutes
Learning Goals•10 minutes
Metrics as Key Performance Indicators•45 minutes
Compare and Contrast Healthcare Data with Another Field•20 minutes
Data Models and Use Cases They Support
Module 2•2 hours to complete
Module details
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.
What's included
6 videos1 assignment2 discussion prompts
Show info about module content
6 videos•Total 33 minutes
Module 2 Introduction•1 minute
Selecting a Data Model•9 minutes
The Hierarchical Model and Supported Use Cases•5 minutes
The Relational Schema and Supported Use Cases•6 minutes
The Star Schema and Supported Use Cases•6 minutes
Comparing and Contrasting Healthcare Data Models•5 minutes
1 assignment•Total 30 minutes
Module 2 Quiz•30 minutes
2 discussion prompts•Total 60 minutes
Data Models•30 minutes
Choose a Problem to Solve and Data Model to Do So•30 minutes
Working with Data across Systems
Module 3•3 hours to complete
Module details
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.
What's included
5 videos1 assignment2 discussion prompts
Show info about module content
5 videos•Total 41 minutes
Module 3 Introduction•1 minute
Purpose, Use Cases, and Measurements in Healthcare Data•8 minutes
Normalization of Healthcare Data•7 minutes
Integrating Healthcare Data Across Sources and Systems•10 minutes
Common Identifiers and The Master Patient Index (MPI)•14 minutes
1 assignment•Total 30 minutes
Module 3 Quiz•30 minutes
2 discussion prompts•Total 90 minutes
Normalization of Healthcare Data Article: Read, Review, Report•60 minutes
Data Challenges•30 minutes
Improving the Quality of Healthcare Data
Module 4•4 hours to complete
Module details
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.
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.
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Learner reviews
4.6
56 reviews
5 stars
71.42%
4 stars
19.64%
3 stars
5.35%
2 stars
3.57%
1 star
0%
Showing 3 of 56
D
DR
4·
Reviewed on Oct 30, 2020
Course is good but at a very basic level. Little more technical depth around developing a healthcare data model would have been useful
J
JA
5·
Reviewed on Jun 28, 2019
Healthcare Data Models is a great course that elaborately exposed various models relevant for healthcare data analysis.Doug did a very good job.
D
DP
4·
Reviewed on Oct 9, 2020
i have came across various data releted concecrn of healthcare to provide n=better complience to patients.thanks a lot to university of california and coursera.
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What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
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