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Create a 360-degree master data management patient view solution using Amazon Neptune and generative AI

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This article details how to create a comprehensive 360-degree patient view using Amazon Neptune and generative AI for master data management in healthcare. The solution enables healthcare organizations to integrate patient data from multiple sources into a unified graph database.

  • Key benefits include personalized care, early health issue detection, and improved patient engagement
  • Uses a graph data model with nodes representing patients, conditions, physicians, prescriptions, and relationships between them
  • Demonstrates how to ingest data into Neptune using bulk loading and CSV files
  • Shows multiple use cases for querying patient data, such as medical history analysis and condition prevalence
  • Introduces natural language querying using generative AI and Amazon Bedrock to allow non-technical users to interrogate the graph database

The solution provides healthcare organizations a powerful tool to centralize patient data, improve decision-making, and enhance patient care through advanced data integration and analysis techniques.

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