Classify, Document & Validate Healthcare Data

Healthcare data is growing exponentially, but without proper classification, documentation, and validation, it becomes a liability instead of an asset. This course transforms you into a healthcare data steward who can ensure data quality, compliance, and discoverability. This Short Course was created to help data analysis professionals accomplish systematic healthcare data management that meets regulatory requirements while supporting clinical decision-making. By completing this course, you'll be able to establish robust data cataloging processes, implement validation workflows that catch data integrity issues before they impact patient care, and apply industry-standard classification frameworks that protect sensitive information while enabling analytics. By the end of this course, you will be able to: • Apply documentation to catalog new datasets • Evaluate data load completion and row counts using system logs • Apply a classification rubric to categorize data fields according to their type and sensitivity level This course is unique because it combines hands-on practice with real EMR scenarios, giving you practical experience with the actual tools and processes used in healthcare data operations. To be successful in this project, you should have a background in basic data analysis concepts and familiarity with healthcare terminology

• Document metadata systematically for reliable healthcare analytics
• Apply standardized validation to detect data issues early
• Integrate classification with privacy regulations like HIPAA
• Enhance data stewardship to reduce cleanup and improve compliance

• Basic computer and internet skills
• Ability to follow English instructions and complete short exercises