University of California, Davis

Healthcare Data Models

This course is part of Health Information Literacy for Data Analytics Specialization

Taught in English

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Doug Berman

Instructor: Doug Berman

7,514 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.5

(50 reviews)

Intermediate level
Some related experience required
11 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

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Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.5

(50 reviews)

Intermediate level
Some related experience required
11 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Health Information Literacy for Data Analytics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 4 modules in this course

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.

What's included

10 videos1 reading1 quiz3 discussion prompts

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 quiz2 discussion prompts

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 quiz2 discussion prompts

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.

What's included

5 videos3 readings1 quiz1 peer review2 discussion prompts

Instructor

Instructor ratings
4.5 (5 ratings)
Doug Berman
University of California, Davis
2 Courses12,543 learners

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Recommended if you're interested in Health Informatics

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4.5

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4

Reviewed on Oct 30, 2020

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Reviewed on Oct 9, 2020

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Reviewed on Jul 17, 2023

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