FHIR®-native Clinical Data Repository

All your clinical data in one place.

Firemetrics unifies HIS, LIS, RIS, DICOM and more into one FHIR-native repository, so clinicians, controlling, researchers, and IT get answers in seconds, not days. Built based on the needs and in cooperation with hospitals.

FHIR-native
Standards-conform by design
Real-time
From data to decision in seconds
AI-Ready
Built for agentic AI workflows
Real-time OR analytics
OR 1 · Orthopedic Active 02:34
ICU beds 2/20 Critical
Avg length of stay 4.8 days
Blood product release
25 units
available again · 12 patients discharged
Trusted as CDR and healthcare AI layer by hospitals all around the world
What's broken today

Critical data is trapped in silos.

In hospitals, data is scattered across dozens of disparate systems. The result is delayed insight, redundant infrastructure and decisions made on incomplete information, across every role.

Clinicians

No timely, complete patient view, especially in emergencies and with unknown patients.

Administration

Blind to daily operations and resource planning, relying on retrospective reports.

IT Teams

Redundant infrastructure and expensive, fragile custom integrations.

Researchers

Waiting days for data exports before analysis can even begin.

The solution

One FHIR-native repository.
Built for real-time decisions.

A FHIR-native, transactional, analytics-oriented and AI-ready Clinical Data Repository that collects all your data into one relational database.


Real-time use or large-scale analytics, everything serviced from a single source of truth with industry leading speed and reliability.


We're returning data sovereignty to hospitals. Access your data with standard FHIR or plain SQL.

Relational FHIR Storage

Fully transactional CRUD with SQL-compatible querying across the complete FHIR schema.

FHIR Façade

Full FHIR ecosystem connectivity, including SMART on FHIR. Standards-conform by design.

Real-Time Analytics

SQL plus Grafana dashboards deliver instant insight. No data warehouse, no overnight batch.

DICOM Integration

Imaging data ingestion, storage and FHIR linking. Clinical and imaging data in one model.

AI-Ready

Full-text search and MCP endpoints for agentic AI workflows. Data-sovereign, on-premise.

Natural Language

Query your clinical data in plain English. Ask a question, get an answer with a chart.

Real-world deployments

From data to decision in seconds.

Use case examples from hospitals all around the world.

Release monitor 25 units freed Johnson · OR UnitA+ · 2 Anderson · CCU0- · 4 Williams · PICU-2O+ · 1
Transfusion Medicine

Blood Products Management

A real-time dashboard automatically identifies blood products reserved for discharged, transferred or deceased patients, making units available again faster.

A dashboard that saves lives
✓ Peer-reviewed · published in Transfusion Medicine (2025)
Case mix · LOS · patient flow
Controlling

Medical Controlling

Critical data processed in real time from the HIS, delivered in clear dashboards for controlling staff and lead physicians. No more data-warehouse delays or retrospective Excel.

Optimize length of stay & patient flow
Cohort overview 3,949 patients in one cohort Stage I–II · immunotherapy Stage III · targeted therapy Stage IV · trials
Oncology

Melanoma Cohort Analyses

Demographics, diagnosis codes, histology, genetic markers, surgeries and prior therapies, unified for skin-cancer-center certification and economic planning.

3,949 patients in one view
Examinations per modality CR1482 CT1380 MR255 NM107 US68
Radiology

Modality Insights

Live examinations per scanner, peak-time analysis and real-time time-to-report for every sub-area, enabling smarter staff scheduling.

Real-time scanner utilization
LLM field extraction Gradient: severe ✓ AFib: persistent ✓ EF-value: 60% ✓ 85% time saved
Cardiology

TAVI Quality Documentation

LLM-assisted extraction of 48 clinical fields from 5 document types for mandatory G-BA/IQTIG reporting, with an OCR pipeline for older documents.

85% time saved · 3–4 min vs. 20 min/patient
MDK risk prediction 60.2 MDK risk Multi-label risk profile
AI Prediction

MDK Audit Risk

A model flags patients at high risk of MDK audit during their stay, with likely reasons, so controlling can correct cases before submission to the insurer.

Prevent retrospective MDR audits
FLAME · Healthcare AI Agent

Ask your data a question.
Get the answer and the chart.

  • Ask in plain language. Medical and business questions answered directly on the CDR, with automatic visualization.
  • 100% local & data-sovereign. Models run inside the hospital. No data sent to external AI providers.
  • Subagents & skills. SQL, FHIR analyst, cohort builder and chart plotting deliver analyses in seconds.
"Show me type 2 diabetes patients by gender, grouped into 10-year age cohorts, as a bar chart."

● FLAME Querying CDR · building cohort · plotting…
Answer & chart delivered in under 2 minutes.
How it works

Live in four steps.

STEP 01

Deploy the environment

Choose from scalable deployment options: on-premise or hybrid, fully data-sovereign.

STEP 02

Ingest your data

Push FHIR transaction bundles and add formats like DICOM directly into the schema.

STEP 03

Query with SQL

Combine multiple FHIR resources using plain SQL and generate insights instantly.

STEP 04

Monitor & build AI

Power real-time dashboards and agentic AI on a high-performance data structure.

Your FHIR-native Clinical Data Repository.

See how Firemetrics turns scattered clinical data into real-time decisions. Book a demo with our team.

Let's talk →