Extract, Map, and Analyze Clinical Data

Overview

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.

Syllabus

Module 1: Data Dictionary Navigation - Detailed Content

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.

Module 2: Data Extraction Procedures - Detailed Content

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.

Module 3: Source-to-Target Mapping - Detailed Content

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.