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Digital Diagnostic Platform Development for Streamlined Medical Testing

themomentum.ai

Medical

Information technology

Health & Fitness

Current Challenges in Diagnostic Accessibility

Lack of user-friendly digital platform to manage complex medical testing workflows, real-time capacity management for lab resources, compliance with healthcare data regulations, and integration of multi-stakeholder requirements (patients, labs, administrators) into a unified system.

About the Client

A leader in in-vitro diagnostics specializing in fertility, genetic disorders in minors, and oncology diagnostics seeking to digitize healthcare workflows.

Key Project Goals

Develop an intuitive digital platform for purchasing medical tests
Implement real-time capacity management for lab scheduling
Ensure compliance with healthcare data protection standards
Integrate third-party services for payments, communications, and geolocation
Create role-specific interfaces for patients, labs, and administrators

Core System Functionalities

E-commerce platform for medical test purchases
Dynamic capacity management system with real-time updates
Multi-role administrative panels (lab, facility, system management)
Secure patient data handling and consent management
Integrated communication tools (email/SMS notifications)
Home test ordering module with logistics coordination

Technology Stack Requirements

Vue.js for responsive frontend interfaces

Ruby on Rails for secure backend processing

WordPress for content management

Google Maps API for location services

PayNow for PCI-compliant payments

Third-Party System Integrations

Mailgun for transactional email services
Twilio for SMS notifications
mBank PayNow for payment processing
Google Maps API for facility location mapping
Hotjar for user behavior analytics

Critical System Requirements

HIPAA/GDPR-compliant data encryption
High-availability architecture with 99.9% uptime
Scalable infrastructure for concurrent lab operations
Real-time data synchronization across stakeholders
Multi-layered security for medical data protection

Expected Business Outcomes

Streamlined diagnostic workflows reducing administrative overhead by 40%, improved patient access to testing through intuitive interfaces, enhanced lab resource utilization via dynamic scheduling, and foundation for AI-driven test interpretation and wearable device integration in future phases.