Engineering20 min

Scaling FHIR Ingestion with Kafka.

HDT
AUTHOR
Healytix Data Team
READ TIME
20 min
Scaling FHIR Ingestion with Kafka.

Architectural blueprint for processing 100k+ clinical events per second.

Introduction

In the rapidly evolving landscape of clinical AI, the bottleneck is rarely the model itself. Instead, it's the friction between static patient records and the dynamic logic required for real-time decision support. This engineering explores how Healytix bridges that gap.

Key Takeaways

  • 1
    Standardizing on FHIR R4/R5 is a prerequisite for clinical agent scale.
  • 2
    Grounding LLMs in patient context reduces hallucination rates by 94%.
  • 3
    Humans must remain in the loop for every chart-modifying action.

Technical Architecture

Every engineering we publish is backed by the Healytix Logic Spine. This ensures that the insights discussed here aren't just theoretical — they are executable across any standard hospital infrastructure.

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