Healthcare runs on data - but legacy FHIR backends buckle under scale. Here's how 4medica, a leader in healthcare data management, modernized its infrastructure with Aidbox FHIR server, slashing resource usage while unlocking real-time analytics and seamless STU3 → R4 migration.

The Stack:

  • Aidbox FHIR CDR (replacing a legacy backend)
  • Google Cloud + Kubernetes (scalable deployment)
  • SQL on FHIR (for analytics without ETL hell)
  • Custom migration scripts (STU3 → R4 in 4 weeks!)

Results:

  • 3X better performance (lower CPU/memory usage)
  • 50% infra cost reduction (12GB RAM vs. 32GB previously)
  • Billion-record readiness (scalable for analytics & real-time apps)

Key Takeaways for Devs:

  1. FHIR migrations are painful—but worth it.
  • 4medica’s custom bulk export script saved months of work.
  • Aidbox’s batch import made R4 migration frictionless.
  1. SQL > REST for analytics.
  • Native SQL on FHIR let them query data without middleware.
  1. Cloud-native FHIR pays off.
  • K8s + Aidbox = auto-scaling for surges in clinical data.

👉 Full Case Study (with architecture!): 4medica modernizes clinical data infrastructure with Aidbox, powering next-generation healthcare solutions

BONUS
‍Watch HIMSS’25 talk: Implementation insights with Oleg Bess, CEO at 4medica, and Pavel Smirnov, CEO at Health Samurai.