Sepsis kills 1 in 5 people worldwide — but AI + FHIR is fighting back.

Prenosis, an artificial intelligence company, developed Immunix™, the first FDA-authorized AI model for sepsis prediction. Here’s the tech stack & architecture that made it possible:

Core Tech:

• FHIR + Aidbox FHIR server (for EHR integration & real-time data)
• Python (Flask) + R (ML engine, 14-sec predictions!)
• SQL on FHIR (for complex queries & analytics)
• Custom FHIR resources (for non-standard clinical data)

Results:

• 75K+ patients assessed
• 6M+ observations processed
• 50% faster dev time vs. traditional EHR integrations

Key Takeaways for Devs:

1. FHIR isn't perfect—EHR APIs are often read-only & inconsistent. They used Aidbox to normalize & extend them.
2. Real-time HL7 → FHIR pipelines are crucial for ICU workflows.
3. SQL on FHIR → Basic FHIR API calls for ML apps.
4. Custom resources in Aidbox let them track lab samples & workflows without messy FHIR extensions.

Discover how Prenosis developed the first FDA-marketing authorized AI diagnostics tool for sepsis by leveraging FHIR, SMART on FHIR, and the Aidbox FHIR server from Health Samurai.

👉 Full Case Study (with architecture diagrams!): Aidbox FHIR Platform for the development of ImmunixTM for precision medicine