Blockchain, AI, and storage architecture
VitalChain is designed as a layered infrastructure that combines blockchain (trust + permissions), decentralized storage (availability + confidentiality), and AI (intelligence + prediction). Each layer has a clear responsibility boundary, enabling scalability, auditability, and compliance-oriented deployment.
1) High-Level Layered Architecture
Application Layer
User experience & integrations
Wallet / app UI, APIs, SDKs, device connectors
User actions, data requests
AI & Analytics Layer
Intelligent health services
Risk scoring, prediction models, anomaly detection
Alerts, insights, recommendations
Data & Storage Layer
Secure data persistence
Encrypted data objects, indexing, retrieval
Confidential health datasets
Blockchain Layer
Trust, ownership, permissions
Identity, access control, audit logs, smart contracts
Proof of consent, access events
Network & Node Layer
Execution and availability
Validator/relayer nodes, storage nodes, compute nodes
Uptime, throughput, resilience
This architecture ensures the blockchain does not store raw medical data, but instead stores metadata, permissions, and verifiable audit records, while the data itself remains encrypted and distributed off-chain.
2) Core Components
2.1 Blockchain Layer (Trust & Permission Layer)
VitalChain’s blockchain layer provides the “control plane” for healthcare data.
Core responsibilities
Decentralized identity binding (user / institution / device identity)
Data ownership registration (who owns which dataset)
Consent and permission management (who can access what, for what purpose, and for how long)
Audit trail (immutable logs of access requests, approvals, and usage receipts)
Incentive and governance logic (VCC-based incentives, staking, governance voting)
On-chain data examples
Dataset identifier (hash/pointer), schema version, timestamps
Consent policy (scope, duration, revocation conditions)
Access events (request → approval → usage receipt)
2.2 Storage Layer (Confidential Data Layer)
Medical records are stored off-chain in a decentralized storage network. Data is encrypted, sharded, and replicated for high availability.
Core responsibilities
Encrypted object storage (EHR, imaging references, lab reports, wearable telemetry)
Sharding + redundancy to prevent single points of failure
Content addressing (hash-based retrieval)
Indexing for efficient lookup (separate from raw data)
Security model
All medical data is stored as ciphertext
Access requires valid authorization proof + decryption entitlement (policy-controlled)
2.3 AI Layer (Intelligence & Prediction Layer)
The AI layer converts authorized data access into actionable health intelligence.
Core responsibilities
Risk scoring (cardio-metabolic, chronic disease, abnormal trend detection)
Early warning signals (outliers, anomalies, deterioration detection)
Personalized recommendations (behavior, follow-up actions, monitoring cadence)
Population insights (institution-level analytics under strict authorization)
Privacy-first compute approach
AI jobs run on authorized, minimally required datasets
Outputs are recorded as non-sensitive results (alerts, scores), with traceable provenance
3) Data Flow and Permission Flow
Below is a simplified lifecycle that shows how data is created, stored, authorized, and analyzed.
1
Data generated (clinic, device, lab)
App/Device + Integration
Raw health data
2
Encrypt + package
Client-side / secure gateway
Encrypted data object
3
Store encrypted data
Decentralized Storage
Content hash / storage pointer
4
Register dataset metadata
Blockchain
Dataset ID, ownership proof
5
Access request submitted
Blockchain
Request record
6
User grants/rejects consent
Blockchain
Permission policy + signature
7
Authorized retrieval
Storage + Access service
Ciphertext delivered
8
AI analytics execution (if approved)
AI Layer
Risk score / alert / insight
9
Audit + settlement
Blockchain
Usage receipt + incentive distribution
This model ensures every meaningful operation has a verifiable trail while keeping private data off-chain.
4) Key Design Principles
Separation of control plane and data plane
Blockchain manages permissions; storage holds encrypted data
Least-privilege access
Consent defines strict scope, duration, and purpose
Auditability by default
Access requests, approvals, and usage receipts are immutable
Privacy-first AI
AI runs only on authorized data; outputs are minimized
Interoperability-ready
Standardized schemas + SDK/APIs for institutions and devices
5) Deployment Modes (Optional for Whitepaper)
VitalChain can support flexible deployment depending on regulatory and institutional requirements:
Public access layer
Open ecosystem participation
Broad transparency; strict permission control
Consortium / hybrid
Hospitals, insurers, research
Controlled membership with shared governance
Enterprise gateway
Large providers
Institutional integration with compliance tooling
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