myHealth: A Secure, Cloud-Enabled AI Healthcare Application

Description

myHealth is a personal health data and inference platform that ingests heterogeneous health-related data sources and enables retrieval-augmented multimodal reasoning through a thin application interface

Problem

Healthcare platforms struggle to balance real-time intelligence with privacy and compliance. Data often remains siloed, insecure, or difficult to integrate across devices and providers. Patients want actionable insights, while organizations need strict HIPAA/GDPR compliance and auditability.

Solution

myHealth delivers:

• Seamless multi-source data ingestion
• Secure cloud architecture (AWS VPC-constrained, zero public internet, HIPAA-eligible services).
• AI reasoning chatbot with pseudonymized health records, providing Q&A, triage, and lifestyle recommendations.
• Observability & governance through auditable system telemetry, operational visibility, and compliance-oriented controls.

Differentiation

• Privacy by design: PHI never embedded directly; redaction and pseudonymization before storage.
• Hybrid data flows: Wearables → Cloud Storage → Cloud DWH → Secure LLM inference.
• Scalability path: MVP runs on Fargate + FastAPI; roadmap includes Kubernetes for multi-tenant deployments.

Target Users

• Patients: Daily health insights, triage support,
• Clinics & providers: Secure health data integration, risk scoring (cardiometabolic index), multimodal analysis.

Documentation Layout

Repo-specific documentation lives directly in docs:

• architecture
• product
• data
• adr
• runbooks

Recommended starting points:

• PRD
• System Architecture
• System Spec
• Technology Stack
• Non-Functional Requirements
• Data Model
• Data Dictionary
• ADRs