Extract, Map, and Analyze Clinical Data
Completed by Jose Gonzalez
April 17, 2026
2 hours (approximately)
Jose Gonzalez's account is verified. Coursera certifies their successful completion of Extract, Map, and Analyze Clinical Data
What you will 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 will gain
- Category: Data Access
- Category: Data Dictionary
- Category: Electronic Medical Record
- Category: Clinical Data Management
- Category: Epic EMR
- Category: Data Integrity
- Category: Data Import/Export
- Category: Analytics
- Category: Data Analysis
- Category: Clinical Documentation
- Category: Patient-centered Care
- Category: Data Mapping
