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.
Extract, Map, and Analyze Clinical Data
Extract, Map, and Analyze Clinical Data
This course is part of Basics of Healthcare Data Analytics: Boost Patient Outcomes Specialization
Instructor: Hurix Digital
Access provided by Xavier School of Management, XLRI
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
Skills you'll gain
- Data Transformation
- Electronic Medical Record
- Data Access
- Data Dictionary
- Epic EMR
- Patient-centered Care
- Data Mapping
- Data Analysis
- Clinical Informatics
- Data Integrity
- Clinical Data Management
- Extract, Transform, Load
- Health Information Management
- Data Quality
- Data Validation
- Data Collection
- Health Informatics
- Electronic Data Capture (EDC)
- Skills section collapsed. Showing 10 of 18 skills.
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Taught in English
Recently updated!
February 2026
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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
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
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
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
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