AWS Entity Resolution for Health Data

This article discusses how AWS Entity Resolution can help healthcare organizations tackle the challenge of linking and matching records across multiple data sources. It highlights the benefits of entity resolution, such as improved patient matching, data consistency, streamlined billing, enhanced system interoperability, and compliance with privacy regulations.

Specifically, the article covers:

• Record accuracy challenges in health data (data fragmentation, data mobility, data quality, and data interoperability)
• AWS Entity Resolution features (flexible data preparation, data protection, data regionalization, advanced matching techniques, manual/automatic processing, near real-time lookup)
• Use cases for AWS Entity Resolution with health data (connected patient records, longitudinal patient journeys, optimized clinical development/research records, linked pharmaceutical codes)
• Interoperability mandates and the role of AWS HealthLake
• A case study on implementing a FHIR patient entity resolution solution using AWS Entity Resolution and AWS HealthLake
• Conclusion highlighting the benefits of integrating AWS Entity Resolution and AWS HealthLake for healthcare data management