Read
Ireti extracts key findings from scanned pathology reports, PDF lab results, and digital molecular test outputs.
Technology
AI that prepares evidence for clinicians to review.
Ireti keeps the workflow understandable: read documents, structure findings, connect evidence, and prepare review material.
Case overviewSynthetic data - illustration only
Case IR-2048
Breast oncology review
6
Source reports
1
Open flag
4
Specialists
Pathology summary
Invasive carcinoma. Findings linked to the original pathology report.
Molecular evidence
Receptor findings organized for specialist review.
Collection date missing. Confirm against the source report.
Clinicians review and approve every output before use.
Structure
The findings become one organized case record with traceable sources, missing fields, and inconsistencies clearly flagged.
Match evidence
The case is linked to relevant published guidelines and clinician-led trial navigation without replacing specialist judgment.
Prepare review
A tumor board summary is generated for specialists to review, edit, approve, and sign off.
Audit trail
Review history, source references, and sign-off events are kept visible for governance.
AWS & Microsoft Azure Stacks
Enterprise multi-cloud and hybrid infrastructure leveraging AWS compute and Microsoft Azure Stacks (Azure Health Data Services & on-premise hospital VPCs) for NDPA-compliant sovereign data residency.
Infrastructure Architecture
Enterprise-Grade Azure Stacks & AWS Integration
Ireti is built to deploy seamlessly within institutional cloud and on-premise environments. By pairing Microsoft Azure Stacks with AWS health data pipelines, hospitals retain full data residency, cryptographic key management, and FHIR interoperability within Nigeria.
- Microsoft Azure Stack Hub & Azure Health Data Services
- End-to-end TLS 1.3 & AES-256 encrypted storage
- NVIDIA GPU acceleration for rapid document processing
Ireti is clinical decision-support software. It does not diagnose, recommend treatments, or replace clinical judgment.