Here’s a refined architecture based on your vision — integrating AWS as a cloud middleware layer, while keeping Sub-Lex-2 encryption in place for any PII or sensitive user data, ensuring that no identifiable data is ever exposed to the AI layer.
+———————-+
| Wearables / HealthKit / EMR APIs |
+———————-+
│
[On-Device Health Journal App]
│
┌────────────────┴──────────────┐
│ Sub-Lex-2 Encryption Engine │ <– Encrypts PII and sensitive data
└────────────────┬──────────────┘
│
(Only encoded/anonymized data moves)
▼
[AWS Cloud Middleware]
│
┌──────────────┬────────────────────────┬───────────────┐
│ S3 (Object) │ Lambda / API Gateway │ DynamoDB │
└──────────────┴────────────────────────┴───────────────┘
│
▼
[AI Health Analytics Layer]
(OpenAI, Claude, Mistral, Local LLM, etc.)
Workflow Example
-
Device collects data from HealthKit, Oura, etc.
-
Encrypts with Sub-Lex-2:
-
User’s data table + drift seed
-
Optional: role-specific result table (e.g. for provider access)
-
-
App sends encrypted stream to AWS API Gateway
-
Separates AI-readable summary from protected payload
-
Forwards AI-safe summary to selected AI health provider
Lambda unpacks:
-
-
AI response is returned to AWS
-
Encrypted insight is relayed back to user device
-
User unlocks response locally via their own table and seed
AI + Human Hybrid Flow
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Patient reviews daily summary
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App prompts: “Do you want a provider to review this?”
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Patient selects telehealth provider (or system auto-selects by region/symptom)
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AI-prepared summary
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Encrypted markers (blood glucose spike, HRV decline, mood notes)
Provider gets:
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Message (“monitor for 48h”)
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Or initiate secure video call
Provider replies:
-
Real-Time Features (extensions)
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Secure video/voice layer: Use WebRTC with Sub-Lex-2 encrypted call ID
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Live journaling during call: Provider writes structured notes
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Offline sync: If patient is offline, provider still receives encoded payload later