AI (TroveLLM)
Clinical intelligence you can trust—at enterprise scale.
The Missing 70%
Clinical coding that captures what others miss
TroveLLM achieves 73.5% accuracy vs MedGemma's 59.3% — a +14.2 point advantage in clinical entity extraction.
TroveLLM vs Industry Competitors
Clinical code enrichment — based on controlled 10-patient pipeline run (The Missing 70%)
| Feature | TroveLLM | Competitors |
|---|---|---|
| Clinical Code Yield | 310% increase over baseline | 30-40% of available codes |
| Avg New Codes Per Patient | 962 new codes | ~0 (no enrichment) |
| Data Layers Processed | 3 (MR + HR + PDF) | 1 (MR only) |
| Code Systems Supported | 12 coding systems | 3-5 systems |
| Unstructured PDF Processing | Yes (OCR + LLM) | No |
| Human-Readable Narrative Coding | Yes | No |
| Handwriting Support | Yes | No |
| Compute Time Per Patient Year | 150 seconds | N/A (no enrichment) |
| Data Completeness | 98%+ | 30-40% |
| Revenue Impact (per patient) | +$400-600 PMPY in RAF uplift | Baseline only |
Ingest
Receive data from any healthcare source format.
Transform
Apply clinical intelligence and validation.
Deliver
Output FHIR R4, OMOP, or analytics-ready data.
Capabilities
What TroveLLM Does
Entity Extraction
Identifies clinical entities from unstructured text, notes, and documents
Clinical Code Generation
Converts PDFs, narratives, and free-text into standardized clinical codes
Contextual Reasoning
Applies clinical relationship logic, not simple keyword matching
Auditable Outputs
Generates explainable, traceable results for enterprise compliance workflows
ICD-10CM/PCS
Diagnosis and procedure coding for risk adjustment and billing
SNOMED
Clinical concept mapping for interoperable health records
See TroveLLM in Action
Schedule a demo to see how Trove can transform your healthcare data operations.