Offline Multimodal Clinical Triage Copilot (MedGemma 1.5)
Independent R&D (Kaggle MedGemma Impact Challenge) · 2026 (Research / Demo Prototype)
- Business impact
- ~10-14 min saved per complex case
- Scale
- Single T4 GPU, offline edge/on-prem
The Challenge
Clinical triage in low-connectivity and sovereignty-constrained settings requires image-grounded reasoning, prior-comparison evidence, and auditability without cloud dependencies. The workflow must prevent patient-context mismatches while still producing fast, clinician-readable outputs.
The Architecture
The pipeline ingests DICOM studies and offline FHIR-shaped EHR bundles, applies a fact-filter compression stage, computes interval CXR delta heatmaps, and sends evidence context to MedGemma 1.5 4B IT for deterministic multimodal synthesis. Outputs are packaged as triage narrative + structured JSON audit packet + Unicode-safe PDF report.
The Impact
Demonstrated an evidence-first triage workflow that can save ~10-14 minutes per complex case and reclaim ~6.7 clinician hours/day in a 40-case/day scenario, while preserving privacy through offline execution and auditable artifacts.
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