Patient Record Management and Data Deduplication Fundamentals

In healthcare, duplicate and mismatched patient records lead to costly administrative errors and compromised patient safety. Managing this data effectively is critical for modern healthcare systems. This text-only course teaches you how to identify, merge, and manage patient records with high accuracy. You will understand the fundamentals of healthcare data quality, deduplication strategies, and patient matching workflows. What you'll learn: - Understand key terminology of healthcare informatics and patient identity management - Identify common causes of duplicate records and their impact on clinical operations - Apply data deduplication techniques and deterministic matching rules to clinical datasets - Explore modern probabilistic matching algorithms and data cleansing workflows - Maintain data privacy and security compliance during record reconciliation - Configure basic data quality checks to prevent future record duplication You will start with foundational concepts of healthcare databases, move on to practical record-matching strategies, and finish with industry-standard practices for maintaining data integrity. This course is designed for healthcare administrators, medical records staff, and aspiring clinical data analysts. No prior programming or database experience is required. Start mastering patient data optimization and elevate your healthcare administration skills today.