Unified Oncology Context for Tumor Boards in under 60 seconds
EntheoryAI aggregates fragmented patient histories across EMR, PACS DICOM, and LIS lab networks into physician-ready clinical summaries with automated staging conflict detection. Designed specifically for Indian multi-hospital cancer centers.
The High Cost of Fragmented Oncology Data
80% of healthcare data in India remains trapped in handwritten notes, scanned PDFs, and isolated hospital EMR silos.
Physician notes, lab PDFs, and DICOM reports are unindexed and unusable without OCR extraction.
Coordinators waste critical hours manually chasing medical records across multiple hospitals.
For 15–30 cases per session, oncology departments lose up to 10 hours in administrative prep.
The Full 5-Phase Data Pipeline
Every patient record undergoes rigorous provenance tracking, consent validation, and normalization.
Link & Consent Engine
Accepts patient ABDM Health ID (`patient@abdm`) or hospital MRN. Initiates automated consent artifact generation with NHA ABDM Consent Manager (HIP).
Fetch & Aggregate Stream
Pulls records concurrently across connected hospital EMR discharge summaries, CarePACS DICOM radiology studies, Suburban LIS lab systems, and uploaded historical PDFs.
Process, Normalize & Staging Conflict Engine
Runs clinical OCR on unstructured notes, maps raw lab/radiology terms to LOINC & SNOMED CT codes, converts datasets into FHIR R4 resources, and executes cross-source conflict detection.
Summarize & Enrich Engine
Generates a physician-ready clinical summary card, chronological timeline of treatments, biomarker extraction (EGFR, ALK, PD-L1), and trial eligibility suggestions.
Export & Integration Stream
Delivers structured output directly to hospital EHR systems, tumor board presentation platforms, or CSV/JSON downloads with full provenance metadata.
Grounded in Global & Indian Data Standards
Every extracted clinical data point carries provenance, verification status, and consent traits.
Name, age, gender, MRN, national ABDM Health ID linking.
Cancer subtype, TNM histology, staging notes, comorbidities.
CT, MRI, PET-CT scans, PACS metadata, radiologist impressions.
CEA, CA-125, CBC, liver/renal function, unit normalization.
Inspect Native FHIR R4 & API Export Formats
Technical buyers can switch tabs below to see exact payload structures generated by EntheoryAI.
{
"resourceType": "ImagingStudy",
"id": "carepacs-ct-chest-88219",
"meta": {
"profile": ["http://hl7.org/fhir/StructureDefinition/ImagingStudy"]
},
"status": "available",
"subject": {
"reference": "Patient/rajesh-kumar-abdm",
"display": "Rajesh Kumar (ABDM ID: rajesh.kumar@abdm)"
},
"started": "2026-07-18T10:14:00+05:30",
"numberOfSeries": 3,
"numberOfInstances": 142,
"procedureCode": [
{
"coding": [
{
"system": "http://loinc.org",
"code": "24627-2",
"display": "CT Chest with contrast"
}
]
}
]
}Enterprise Security & ABDM Compliance
Addressing the #1 adoption barrier for hospital IT leaders with native data residency and consent controls.
India Data Residency
100% of data processing and encrypted storage resides on MeitY-empanelled India cloud servers (AWS Mumbai / Azure India Central).
ABDM Consent First-Class
Built from day one around ABDM Health Information Provider (HIP) and User (HIU) consent artifact validation before touching any PHI.
HIPAA-Eligible Architecture
End-to-end encryption at rest (AES-256) and in transit (TLS 1.3), complete audit logging, and zero-retention RAM cache options on roadmap.
SaaS Pricing for Every Stage
Start with a pilot sandbox or scale across your multi-hospital network.
Starter
Small Clinics & Individual Oncologists
- Up to 15 patient summaries / mo
- ABDM M1 Consent Verification
- Standard PDF OCR Extraction
Team (Tumor Board)
Multi-Hospital Cancer Centers
- Unlimited ABDM M1/M2/M3 Auto-Fetch
- Automated Staging Conflict Detection
- FHIR R4 ImagingStudy Integration
- Export to EHR, PDF & CSV
Enterprise
Hospital Networks & Large CROs
- On-Prem / India VPC Deployment
- Custom BAA & SLA Guarantees
- Dedicated Clinical Support Engineer
Bring Unified Clinical Context to Your Next Tumor Board
Join forward-thinking Indian oncology departments eliminating record gathering friction and focusing on patient care.