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URL: https://www.coursera.org/learn/extract-map-and-analyze-clinical-data

⇱ Extract, Map, and Analyze Clinical Data | Coursera

Extract, Map, and Analyze Clinical Data

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Extract, Map, and Analyze Clinical Data

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Systematic data dictionary navigation is fundamental to ensuring accurate clinical data selection and preventing downstream analytical errors

  • Standardized extraction procedures are critical for maintaining data consistency and reproducibility in healthcare analytics

  • Comprehensive source-to-target documentation serves as the foundation for data governance, auditing, and quality assurance in clinical research

  • Proper data lineage documentation enables trust and transparency in healthcare analytics that directly impacts patient care decisions

Details to know

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Recently updated!

February 2026

Assessments

6 assignments¹

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

This course is part of the Basics of Healthcare Data Analytics: Boost Patient Outcomes 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

There are 3 modules in this course

Transform raw clinical data into actionable insights that improve patient care. This course equips healthcare data analysts with foundational skills to navigate complex healthcare data systems effectively.

This Short Course was created to help data analysis professionals accomplish systematic clinical data extraction and mapping that directly supports patient outcome improvements. By completing this course, you'll be able to confidently select appropriate data elements from healthcare dictionaries, execute reliable data extraction procedures, and create clear documentation that ensures data integrity throughout your analytical pipeline. By the end of this course, you will be able to: • Identify required data elements from healthcare data dictionaries for specific clinical questions • Apply standardized procedures to extract data exports from Epic Clarity and similar clinical systems • Analyze and document source-to-target mappings with complete transparency This course is unique because it combines hands-on practice with real Epic Clarity workflows and provides practical templates used in actual healthcare analytics environments. To be successful in this project, you should have a background in basic data concepts and familiarity with healthcare terminology.

Learners will master systematic navigation of healthcare data dictionaries to identify and select appropriate data elements for specific clinical questions, ensuring accurate data selection that prevents downstream analytical errors.

What's included

2 videos1 reading2 assignments

2 videos•Total 13 minutes
  • Why Data Dictionary Mastery Transforms Healthcare Analytics•3 minutes
  • Essential Components of Clinical Data Dictionaries•10 minutes
1 reading•Total 8 minutes
  • Healthcare Data Dictionary Fundamentals and Structure•8 minutes
2 assignments•Total 18 minutes
  • Healthcare Data Dictionary Navigation for Cardiac Surgery Readmission Analysis•15 minutes
  • Data Dictionary Navigation Knowledge Check•3 minutes

Learners will execute standardized data extraction procedures from Epic Clarity and similar clinical systems, mastering systematic approaches that maintain data consistency and reproducibility in healthcare analytics.

What's included

1 video2 readings2 assignments

1 video•Total 7 minutes
  • Standardized Data Extraction Principles in Healthcare•7 minutes
2 readings•Total 19 minutes
  • Epic Clarity Extraction Methods and Best Practices•10 minutes
  • Podcast: Epic Clarity Data Extraction Best Practices: From Setup to Export•9 minutes
2 assignments•Total 18 minutes
  • Execute Complete Clinical Data Extraction Workflow•15 minutes
  • Data Extraction Procedures Assessment•3 minutes

Learners will analyze extracted data files and create comprehensive source-to-target mapping documentation that ensures data transparency, supports auditing requirements, and enables trust in healthcare analytics that directly impacts patient care decisions.

What's included

2 videos1 reading2 assignments1 ungraded lab

2 videos•Total 13 minutes
  • Essential Elements of Healthcare Data Mapping•9 minutes
  • Creating Professional Source-to-Target Documentation•5 minutes
1 reading•Total 6 minutes
  • Source-to-Target Mapping Documentation Standards•6 minutes
2 assignments•Total 13 minutes
  • Clinical Data Mapping Mastery Assessment•8 minutes
  • Source-to-Target Mapping Knowledge Check •5 minutes
1 ungraded lab•Total 20 minutes
  • Healthcare Data Mapping Implementation Lab•20 minutes

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

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.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.