University of Colorado System
Clinical Data Models and Data Quality Assessments
University of Colorado System

Clinical Data Models and Data Quality Assessments

This course is part of Clinical Data Science Specialization

Taught in English

Some content may not be translated

Laura K. Wiley, PhD
Michael G. Kahn, MD, PhD

Instructors: Laura K. Wiley, PhD

7,385 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.2

(61 reviews)

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

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.2

(61 reviews)

Intermediate level
Some related experience required
17 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 Clinical Data Science 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
  • Earn a shareable career certificate
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There are 5 modules in this course

This week describes clinical data models and explains the need for and use of common data models in national and international data networks. We will also cover the features of Entity-Relationship Diagrams (ERDs) to describe the key technical features of data models.

What's included

9 videos5 readings1 quiz

We take a deep dive into the technical features of clinical data models using MIMIC3 as our example and research common data models using OMOP as our example.

What's included

6 videos1 reading1 quiz

This module teaches learners about the processes and challenges with extracting, transforming and loading (ETL) data with real-world examples in data and terminology mapping.

What's included

6 videos1 reading1 quiz

We explore the dimensions of data quality by reviewing its challenges, data quality measurements used to measure it, and data quality rules to assess its acceptability for use.

What's included

5 videos1 reading1 quiz

In this module, you gather everything you’ve learned to complete a real-world hands-on exercise using ETL methods to convert MIMIC3 data into the OMOP common data model.

What's included

6 videos1 reading1 peer review

Instructors

Instructor ratings
4.2 (9 ratings)
Laura K. Wiley, PhD
University of Colorado System
6 Courses27,228 learners
Michael G. Kahn, MD, PhD
University of Colorado System
2 Courses8,778 learners

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4.2

61 reviews

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