TOGAF ADM · Phase A–D

Enterprise Architecture

Structured per TOGAF 10th Edition. Medical AI as a segment architecture within the Rogers Strategy & IT Consulting seven-venture portfolio.

Four Architecture Domains

TOGAF structures every segment across Business, Data, Application, and Technology domains. Each domain answers a different question about how the architecture operates.

Business Architecture
What the business does and why

Cross-border healthcare intake. TCM-Western integration as a service differentiator. Three revenue models: per-case processing, corporate health subscription, institutional white-label licensing.

  • Shatters the Medical Data Wall for Chinese patients seeking Western specialist care
  • Preventative longevity model — annual synthesis for long-term health management
  • International clinic network in Beijing, Shanghai, Hong Kong as physical delivery layer
  • B2B corporate health buyer as fastest path to signed recurring revenue
Data Architecture
How data is structured, stored, and protected

Proprietary three-tier verified data architecture. Clinical records, longitudinal links, and access events maintained in logically segregated stores with cryptographic provenance on each tier.

  • TCM parallel schema alongside Western clinical data — neither system overwrites the other
  • FHIR R4 interoperability layer for receiving institution EHR ingestion
  • PIPL-compliant data localization — PHI processed on China-side infrastructure
  • Cross-border consent management — data does not cross jurisdictions without authorization
Application Architecture
The software components and their interactions

Three-stage Clinical Intelligence Engine. Source ingestion adapters for Chinese portals. AI synthesis layer. Output formatters for each target institution. REST API for institutional integration.

  • Structured extraction with confidence scoring and human review queue
  • DeepSeek longitudinal synthesis — native Chinese language, self-hostable
  • Specialist output formatter — configurable per target institution intake requirements
  • NDA-gated partner portal — access controlled, identity logged, session tracked
Technology Architecture
The infrastructure that makes it run

Self-hosted VPS. No Microsoft stack. Docker containerization. Supabase PostgreSQL with row-level security. DeepSeek AI self-hosted for PIPL compliance. WireGuard VPN between jurisdictions.

  • AES-256 at rest, TLS 1.3 in transit — PHI encrypted end to end
  • Proprietary ledger implementation — full detail in Ledger section
  • n8n workflow engine for clinical event routing and partner notifications
  • Grafana operations dashboard — ledger integrity monitoring, uptime, throughput

Architecture Development Method

TOGAF ADM phases applied to Medical AI. This report covers Phase A (Architecture Vision) and primary elements of Phases B, C, and D.

Phase
Medical AI Application
A — Vision
Architecture vision: deploy a clinical intelligence platform that removes the Medical Data Wall for Chinese patients seeking Western specialist care. Stakeholders: patients, specialist hospitals, corporate health buyers, medical tourism facilitators, insurance underwriters.
B — Business
Three revenue model architecture. Per-case processing with TCM premium. Corporate subscription with annual longevity synthesis. Institutional white-label license. International clinic network as physical delivery layer in Beijing, Shanghai, Hong Kong.
C — Data
Three-tier verified data architecture. TCM parallel schema. FHIR R4 interoperability. PIPL-compliant data localization with cross-border consent management. Proprietary cryptographic provenance layer — detail in Ledger section.
D — Technology
Self-hosted VPS stack. Docker + Portainer. Supabase PostgreSQL. DeepSeek AI self-hosted. Nginx + Flask REST API. WireGuard cross-jurisdiction VPN. n8n workflow automation. Grafana monitoring.
E — Opportunities
Initial market entry via Beijing and Shanghai individual premium cases. Corporate health subscription sales to multinationals with Chinese employee bases. Franchise model for clinic network expansion across Southeast Asia and Europe.
F — Migration
Phase 1: pilot cases, extraction engine, DeepSeek integration (0–90 days). Phase 2: corporate health sales, JCI hospital partnership, Hong Kong hub (90–180 days). Phase 3: white-label licensing, longevity subscription, research data product (180–365 days).

Portfolio Position

Medical AI is one of seven ventures in the Rogers Strategy & IT Consulting enterprise portfolio, structured per TOGAF Enterprise Continuum. Each venture is a discrete but integrated asset sharing common building blocks.

1
Medical AI This Segment
Human capital development · Cross-border healthcare · TCM-Western integration
2
Power Currency / CASH2030
Finance + Energy · kWh-backed currency · Decentralized settlement
3
Total Domain Conflict / 36Gems
Defense training · AI-driven simulation · Escalation modeling
4
Next-Gen STEM School
Education · Learning analytics · Industry skills alignment
5
VetHouse.us
Housing · Veterans · Data-driven structured housing assets
6
2026.Media
Education · Media literacy · Information integrity
7
AI Systems Edge
Defense · Edge AI · Tactical decision support
Shared Building Blocks
Immutable Ledger
Shared
Cryptographic provenance architecture deployed identically in Medical AI (clinical records) and Power Currency (energy metering). One codebase, multiple segment deployments.
NDA Portal Framework
Shared
Identity logging, session management, and access-controlled partner portal pattern reused across all seven ventures with segment-specific branding.
n8n Workflow Engine
Shared
Event routing, partner notifications, and automated report delivery infrastructure shared across the portfolio.
TCM-Western Schema
Medical AI Only
Parallel data schema holding Traditional Chinese Medicine and Western clinical records simultaneously. Proprietary. No equivalent in any existing health IT platform.
DeepSeek Integration
Medical AI Only
Native Chinese language clinical synthesis. Self-hosted for PIPL compliance. Configured for cross-provider longitudinal reasoning.