Healthcare & Life Sciences

See what sovereign AI looks like inside an Indian hospital.

3 scenarios. Real regulations. Real outcomes.

Patient Sovereignty Clinical AI ABDM Integration
01

The Health Data Gap

Hospital AI sends patient records to foreign clouds. DPDP classifies health data as the most sensitive category. Consent is broken. Provenance is absent. Patient trust is eroding.

0M
ABHA IDs issued
0K
ABDM-linked facilities
Most Sensitive
DPDP classification
02

Patient data stays at the facility.

  1. 01
    Clinical query arrives
    Diagnostic request with patient vitals, imaging data, and medical history. All sensitive under DPDP.
  2. 02
    Consent verified
    ABDM consent artefact checked in real time. Purpose, expiry, and data class validated before any processing.
  3. 03
    Processed locally
    On-premises model handles the request. Zero patient data leaves the facility network.
PERMIT Radiology analysis → consent valid, local
PERMIT Lab interpretation → consent valid, local
DENY Patient history → consent expired
DENY Genomic data → no consent artefact
PERMIT Prescription check → consent valid, local
0 bytes left the facility. Consent enforced at system level. Not policy level.
03

India-trained. Explainable. BODH-ready.

Western AI misdiagnoses Indian TB presentations. Drug-resistant patterns differ. Comorbidity profiles differ.

Models trained on US/EU data produce confident wrong answers for Indian patients.

India-specific models with local training data
Full provenance every prediction traceable
BODH path certification-ready clinical AI
282M eSanjeevani teleconsultation sessions completed. 40%+ clinicians already using AI tools. The demand exists. The sovereignty doesn't.
Indian patients deserve Indian-trained AI. With full explainability.
04

FHIR R4 native. Consent enforced at system level.

WITHOUT ADIOS
5 disconnected systems per patient
Proprietary data formats
Paper-based consent
No cross-facility continuity
WITH ADIOS
Unified patient graph
FHIR R4 + SNOMED CT + LOINC + ICD-10
Cryptographic consent artefacts
Consent-gated cross-facility access
SNOMED CT + LOINC + ICD-10 coded. Not proprietary formats.
04b · Europe

EHDS-ready. Same platform. Same sovereignty guarantee.

European Health Data Space (Reg. 2025/327, in force 2026; primary use mandatory 2029, secondary use 2031) requires a Sovereign Secure Processing Environment for Health Data Access Bodies. AdiOS Tier-3 sovereignty boundary maps to this requirement natively — no re-architecture needed for EU customers.

EHDS

14 control families · 8 EHDS profile types in adios-fhir · IPS-aligned Patient validation · MyHealth@EU envelope · 58 tests passing.

MDR & IVDR

EU Med Device Reg + In Vitro Diagnostic Reg in adios-regionkit. UDI lifecycle, EUDAMED submission, post-market surveillance evidence. 11 + 8 controls.

GDPR Art 9

Health data is special-category. AdiOS Sentinel ring enforces lawful basis at every cross-component call. Compounding trait records consent provenance immutably.

€2.45B
EU healthcare/pharma TAM
2029
EHDS primary-use deadline
8 + 11 + 8
EHDS · MDR · IVDR profiles

Funding pathways: Horizon Europe Cluster 1 Health · EU4Health · Digital Europe Programme · EHDS Member State implementation calls · EIC Accelerator. See company → Market Size for full TAM/SAM/SOM build.

05

Not a roadmap. Running today.

0
adios-fhir tests
0
regionkit tests
0
patents
FHIR R4 + EHDS
India + EU native

Rust. On-premises. Sovereign by design.

06

Before and After

Before
Foreign diagnostic endpoints
Paper-based consent
Siloed patient records
Quarterly NABH audits
→ → → →
After
Sovereign clinical AI
Cryptographic consent artefacts
Federated patient graph
Continuous compliance monitoring

See it live.

30-minute walkthrough. Your patient data stays with you.

Book a Demo ← Back to Horizons