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April 6, 2025

Streamlining Healthcare Intelligence Through Unified Data & GenAI

The Problem: Unified Healthcare Data with GenAI Was Out of Reach

A healthtech organization wanted to improve patient outcomes and support their internal teams with intelligent systems. But fragmented data across multiple platforms slowed down analytics and delayed personalized care. Their GenAI ambitions stalled — simply because they lacked unified healthcare data to power modern solutions.

Without real-time access, healthcare teams couldn’t stratify members efficiently, increasing operational costs and compromising timely decision-making.

What They Wanted to Achieve

The goals were clear:

  • Deliver personalized care at speed using AI
  • Enable internal teams to search complex documents quickly
  • Centralize data and governance across departments
  • Build GenAI use cases with proprietary data while staying compliant

Our Solution

We helped the client unify healthcare data with GenAI enablement by building a modern lakehouse architecture on AWS. The solution brought together Databricks Mosaic AI, Unity Catalog, and custom LLM integrations for secure, compliant, and scalable insights.

Core Tech:

  • Lakehouse Architecture: Unified structured + unstructured data
  • Apache Spark™ Streaming: Real-time ingestion from clinical platforms
  • Unity Catalog: End-to-end governance for HIPAA-compliant AI ops
  • RAG with GenAI: Retrieval-augmented generation for clinical use cases
  • DBRX LLM: Tailored internal search across contracts, protocols, and PDFs
  • Databricks Model Serving: Real-time deployment with versioning and auto-scaling

Related Tech & Tools:

The Results

  • 65% faster time-to-insight on member queries
  • Smarter contract analysis with GenAI-enhanced LLMs
  • Seamless deployment of AI models via REST APIs
  • Improved governance for both structured and unstructured data
  • Reduced ops costs through centralized management

With unified healthcare data and GenAI, the company scaled insights, simplified compliance, and empowered their internal teams.

What’s Next

By unifying healthcare data with GenAI, the client continues to improve care delivery, boost internal productivity, and scale innovation across departments. Their AI strategy now blends human and machine intelligence — enhancing performance, accuracy, and healthcare outcomes.

HealthcareAI #GenAI #DataEngineering #LakehouseArchitecture #Databricks #AWS #DataGovernance

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