Ned Thomas
AI Systems Architect
Full-Stack Developer Needed – Healthcare POC AI & Tracking Platform
Key Requirements
- Build multi-tenant healthcare web app tracking patient care plans and progress
- Implement role-based authentication with admin, provider, and staff views
- Use React/Next.js frontend, Node.js/NestJS backend, PostgreSQL database
- Create POC engine with diagnosis-based plans, phase progression, and conversion tracking
- $2000 fixed budget for MVP with clean, executable implementation
Architecture
Phase 1: Multi-Tenant Foundation & Database Schema
PostgreSQL Database
Tenant isolation schema with role-based access control (admin/provider/staff)
AWS HIPAA-Ready Infrastructure
Secure cloud foundation with data encryption and audit trails
Authentication System
Role-based access control with tenant-scoped permissions
Phase 2: POC Engine & Patient Tracking System
Plan-of-Care Engine
Phase-based progression logic for 7 care pathways (joint pain, muscle pain, tendon/ligament, nerve, discogenic, immune, inflammation, athletic performance)
Patient Journey Tracking Module
Visit tracking, phase progression monitoring, and conversion point detection
Clinical Workflow Service
Backend logic processing patient state transitions and care plan recommendations
Phase 3: Dashboard & User Interfaces
React-Based Role-Specific Dashboards
Separate views for admin, provider, staff, and patient roles
Analytics & Conversion Tracking Module
Completion rates, drop-off points, offer acceptance/decline monitoring, progress visualization
Real-Time Data Visualization
Live dashboard updates connected to POC engine state changes
Phase 4: Testing, Deployment & Documentation
Environment Deployment Pipeline
Clinic environment deployment with HIPAA compliance verification
Integration Testing Suite
Multi-tenant isolation validation, data integrity checks, and workflow testing
Technical Documentation & Runbooks
System architecture, deployment procedures, and operational guides
Cover Letter
Hey there.
I see you need a full-stack developer for a healthcare POC platform, I built exactly this type of system for CompliantCare, an AI voice triage platform handling patient scheduling and clinical workflows.
That system needed multi-tenant architecture, role-based authentication, patient progress tracking, and HIPAA-ready infrastructure. It now processes patient interactions across multiple clinics with complete data isolation and audit trails.
The reason most healthcare platforms fail to scale past their first clinic is they don't build tenant isolation from day one, data bleeds between practices, permissions get messy, and compliance becomes impossible to maintain.
Here's exactly how I'd build this POC Intelligence & Tracking Platform:
1. Multi-Tenant Foundation & Database Schema (Week 1) Build the core PostgreSQL database with proper tenant isolation, role-based authentication (admin/provider/staff), and the POC engine schema for diagnosis-based care plans and phase progression tracking. Set up AWS infrastructure with HIPAA-ready architecture. Deliverable: secure multi-tenant foundation with complete data isolation between clinics.
2. POC Engine & Patient Tracking System (Week 2-3) Build the Plan-of-Care engine with your predefined treatment plans (joint pain, muscle pain, tendon/ligament, nerve, discogenic, immune, inflammation, athletic performance), phase-based progression logic, visit tracking, and conversion point monitoring. Deliverable: functional POC engine processing patient journeys through defined care phases.
3. Dashboard & User Interfaces (Week 3-4) Build React-based dashboards with separate views for admin, staff, and patients. Include analytics for completion rates, drop-off points, conversion tracking (offer made/accepted/declined), and progress visualisation. Deliverable: complete web application with role-specific interfaces and real-time analytics.
4. Testing & Documentation (Week 4) Deploy to your clinic environment, conduct thorough testing with real workflows, and provide comprehensive documentation for licensing to other practices. Deliverable: production-ready platform deployed in your clinic with handover documentation.
Bonus: AI Integration Scaffolding I'd structure the database and API layer so your planned AI features (template generation, clinical insights) slot in cleanly without rework, proper separation between clinical data and AI-generated content for HIPAA compliance.
What you'll get
- Multi-tenant web application with complete clinic data isolation
- Role-based authentication (admin, provider, staff views)
- POC engine with your 8 predefined care plan types
- Phase-based patient progression tracking with visit logging
- Conversion tracking system (offers, outcomes, notes)
- Analytics dashboard (completion rates, drop-off analysis)
- HIPAA-ready AWS infrastructure and security controls
- Patient and staff interfaces optimised for clinical workflows
- Full API documentation and licensing-ready architecture
- AI integration scaffolding for future expansion
I've mapped out the database schema and tenant isolation approach, happy to share an architecture diagram once we connect.
Speak soon!
Best,
Ned Thomas
Deliverables
| Phase | Breakdown | Amount | Due |
|---|---|---|---|
Multi-Tenant POC Engine & Patient Tracking | 55% | $1,331 | 20-04 |
Dashboard, Analytics & Clinical Interfaces | 45% | $1,089 | 04-05 |
Post-Launch Support | — | INCLUDED | 11-05 |
Timeline
Multi-Tenant POC Engine & Patient Tracking
$1,33120-04
Dashboard, Analytics & Clinical Interfaces
$1,08904-05
Post-Launch Support
INCLUDED11-05
About
Ned Thomas
AI Systems Architect
I build AI infrastructure, voice agents, and SaaS platforms that automate operations and generate revenue. Specialising in agentic workflows, autonomous systems, and AI-powered automation for businesses looking to scale without increasing headcount.
Interested?
Reply to my proposal on Upwork and we can discuss next steps.