Build a Unified Patient Index Using AWS Entity Resolution

This article discusses how healthcare organizations can use AWS Entity Resolution to create a unified patient index by accurately matching and linking patient records across multiple data sources.

• Challenges include inconsistent data entry, fragmented patient records, and difficulties in care coordination
• Uses a synthetic patient dataset from the Childhood Obesity Data Initiative (CODI) project
• AWS Entity Resolution helps match patient records using:
  • Rule-based and machine learning matching techniques
  • Grouping of related fields like names and addresses
  • Normalization of data to improve matching accuracy
• Output provides a new matchid for related patient records
• Enables better healthcare analytics, research, and patient care coordination

The solution helps healthcare organizations create a comprehensive view of patient health history by effectively linking records from diverse data sources.