The neural architecture behind autonomous healthcare.
MedicVault combines proprietary medical vision and tabular claims models with clinical-grade infrastructure from AWS, NVIDIA, and Microsoft Azure—delivering sub-420ms DICOM inference, NDPA 2023 patient privacy, and 99.99% hospital uptime.
See how MedicVault eliminates diagnostic & HMO leakage in real time.
Test live DICOM computer vision triage, autonomous NHIA/HMO claims scrubbing, and regional hospital revenue recovery across Nigerian healthcare corridors.
Select Incoming PACS / DICOM Study
- Digital PA Chest Radiograph + AI Volumetric Segmentation: ₦18,500
- Sterile Closed Thoracostomy Tube Kit (28Fr Underwater Seal): ₦46,500
- Consultant Cardiothoracic / ER Triage Procedure Tariff: ₦35,000
Dr. O. Nwosu (On-Call Thoracic & Trauma Unit)
< 6 minutes PACS alert & bedside page
Built on AWS, NVIDIA & Microsoft Azure.
Engineered to meet the strictest clinical latency, NDPA 2023 data sovereignty, and CBN financial escrow standards.
AWS HealthImaging & KMS Vault
Petabyte-scale medical imaging storage and cryptographic capitation escrow security.
- AWS HealthImaging (HTJ2K): High-Throughput JPEG 2000 compression enabling sub-second 3D CT/MRI viewing even on 3G/4G clinic links.
- AWS KMS & CloudHSM: FIPS 140-2 Level 3 hardware encryption protecting multi-branch hospital capitation escrow keys.
- Amazon S3 Object Lock: WORM immutable audit trails for medico-legal radiology reports and NHIA claims batches.
- AWS SageMaker Multi-Model Endpoints: Elastic auto-scaling during peak morning outpatient clinic hours.
NVIDIA MONAI & TensorRT™
Sub-420ms volumetric medical vision segmentation and high-velocity tabular claims scoring.
- NVIDIA TensorRT™ FP16 Quantization: Compiles MedViT-3D-v4 for 390ms inference on Chest X-Ray, Cranial CT, and Dental OPG studies.
- NVIDIA MONAI Clinical Pipelines: Standardized 3D voxel preprocessing, window/level normalization, and organ segmentation masks.
- NVIDIA Triton™ Inference Server: Concurrent multi-modality batching on NVIDIA L40S and A10G Tensor Core GPU clusters.
- NVIDIA RAPIDS™ Tabular Engine: GPU-accelerated HMO claims scrubbing across 50,000+ monthly line items in seconds.
Azure Health Data & Enclaves
FHIR v4 interoperability, confidential patient identity vaults, and zero-retention clinical NLP.
- Azure Confidential Computing (AMD SEV-SNP): Hardware-enforced memory encryption so patient NIN/EMR identifiers are never exposed in cleartext.
- Azure Health Data Services (FHIR v4): Seamless bidirectional sync with hospital EMRs, LIS laboratory analyzers, and pharmacy ledgers.
- Azure OpenAI Clinical Partition: Zero-data-retention ICD-11 clinical note structuring and discharge summary generation.
- Azure SQL Ledger: Cryptographically verifiable audit tables for HMO capitation disbursements.
Domain-specific medical intelligence.
Trained on West African epidemiological cohorts, local imaging equipment profiles, and NHIA/HMO tariff structures.
RadVision™ (MedViT-3D-v4)
The Clinical Bottleneck:
Nigeria has fewer than 600 consultant radiologists serving over 220 million citizens. High-volume hospital groups and diagnostic centers accumulate massive reporting backlogs, while emergency room doctors miss subtle pneumothoraces, early MCA stroke infarcts, or periapical dental lesions during night shifts.
How RadVision Solves It:
As soon as a technician completes a scan, MedViT-3D-v4 ingests the raw DICOM series, normalizes contrast across diverse scanner generations, localizes pathologies with bounding contours, and pushes a STAT alert to the on-call specialist’s mobile PACS viewer in 390 milliseconds.
Model Specifications:
- Architecture:3D Swin-UNETR + Vision Transformer Spine
- Supported Modalities:Chest X-Ray, Cranial CT, Dental OPG/CBCT, US
- Sensitivity / Specificity:99.4% / 98.7% (Audited Multi-Center)
- DICOM Header Security:Automated PS3.15 De-Identification
ClaimSentinel™ (HMO-TabNet-v3)
The Claims Rejection Crisis:
Hospital billing clerks manually transcribe paper case notes into HMO portals, resulting in mismatched ICD codes and unapproved drug substitutions. Conversely, HMOs suffer from provider upcoding and phantom encounters.
How ClaimSentinel Solves It:
HMO-TabNet-v3 evaluates the entire clinical encounter graph—vitals, lab values, RadVision imaging, and pharmacy line items—against the exact payer tariff contract in 2.4 seconds, auto-correcting coding errors and locking pre-authorization tokens.
Verification Vectors (0 to 850 Concordance Score):
WardPulse™ (Clinical-TFT-v2)
The Capacity Blindspot:
Seasonal malaria surges, road-traffic trauma waves, and maternity peaks routinely catch hospital administrators off-guard—leading to ICU bed diversions, medical oxygen depletion, and expired laboratory reagents.
Automated Supply Escrow:
Using a Temporal Fusion Transformer (TFT), WardPulse forecasts ward occupancy and consumable burn rates 72 hours ahead, automatically locking pre-funded purchase orders with vetted medical gas and reagent suppliers.
Empirical Hospital Impact:
Clinical Architecture Comparison
| Clinical Layer | Legacy Hospital EMR / Paper | Generic LLM Chat Wrappers | MedicVault Autonomous Clinical OS |
|---|---|---|---|
| Radiology & Dental Triage | Manual film/CD review (24–48 hours) | Cannot parse volumetric DICOM v3.0 | NVIDIA TensorRT + MedViT-3D-v4 (< 420ms) |
| HMO & NHIA Claims Audit | Monthly Excel sheets (22% denial rate) | Hallucinates non-existent tariff codes | HMO-TabNet-v3 + Live NHIA Tariff Books (2.4s) |
| Capitation & Fee Escrow | Commingled bank accounts & 90-day lag | No banking or CBN escrow connectivity | AWS KMS Encrypted Virtual Capitation Ledgers |
| Patient Data Sovereignty | Unencrypted local desktop folders | Leaks patient PII to public cloud APIs | NDPA 2023 • Azure Confidential SEV-SNP Enclaves |
Test our DICOM & HMO stack on your own clinical data.
Schedule a technical integration review with CTO Adeleke Timothy’s engineering team, or launch a 30-day de-identified sandbox today.