Back to projects
Health2024Confidential — European health network

Cognit Care

Clinical diagnostic copilot deployed on private infrastructure

Translucent anatomical visualization for the Cognit Care diagnostic copilot
12K
01
Cases validated
+31%
02
Differential coverage
-22%
03
Documentation time
[ Overview ]

Cognit Care is an LLM-powered diagnostic assistant that surfaces differential diagnoses, missed-finding alerts and guideline citations directly inside the clinician's EHR — without a single byte of patient data leaving the hospital network.

01

The challenge

Clinicians wanted LLM support but compliance and patient-safety teams had blocked every cloud-based offering. The bar was clear: zero data egress and zero hallucinated guidance.

02

Our approach

We fine-tuned a Gemma 4 model on a curated, de-identified clinical corpus, then deployed it on the hospital's on-prem GPU cluster behind a FHIR-aware retrieval layer. Every suggestion is grounded in a cited guideline; ungrounded outputs are suppressed.

03

The outcome

Validated against 12,000 clinical cases, Cognit Care improved differential coverage by 31% and cut documentation time by 22% — without a single data-protection incident.

04

What we built

  • Custom Gemma 4 clinical fine-tune on de-identified data
  • FHIR-aware retrieval grounded in cited guidelines
  • On-prem GPU deployment with zero data egress
  • Hallucination suppression with refusal-by-default behaviour
Next project

Vector-01

Autonomous coding fleet shipping PRs across 40+ repositories

Continue