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Development of Secure Telehealth Platform with Scalable Architecture
  1. case
  2. Development of Secure Telehealth Platform with Scalable Architecture

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Development of Secure Telehealth Platform with Scalable Architecture

plavno.io
Medical
Information technology
Telecommunications

Current Healthcare Access Challenges

Patients face difficulties in scheduling appointments and accessing medical care due to physical distance and traditional in-person requirements. The pandemic exacerbated these issues, creating urgent demand for secure remote healthcare solutions that maintain data privacy while handling high user volumes.

About the Client

Health tech startup focused on digital transformation of healthcare delivery through virtual consultation platforms

Platform Development Goals

  • Create HIPAA-compliant communication channels for virtual consultations
  • Implement scalable infrastructure for nationwide adoption
  • Develop intuitive appointment management system
  • Establish secure multi-gateway payment processing
  • Ensure seamless user experience across web and mobile interfaces

Core System Capabilities

  • Encrypted video/voice consultation channels
  • Dynamic doctor-patient matching algorithm
  • Real-time appointment scheduling with calendar integration
  • Multi-currency payment gateway support
  • AI-powered schedule optimization for healthcare providers
  • Automated appointment change notifications

Technology Stack Requirements

React.js for frontend development
Node.js with Laravel framework
Cloud infrastructure (AWS/GCP)
WebRTC for real-time communication
Blockchain-based data encryption

Third-party System Integrations

  • Stripe/PayPal payment gateways
  • Zoom/Zoom API for teleconferencing
  • Google Calendar API
  • Twilio for SMS notifications
  • Electronic Health Record (EHR) systems

System Performance Standards

  • End-to-end data encryption (AES-256)
  • Horizontal scaling with Kubernetes
  • 99.99% uptime SLA
  • Sub-200ms latency for video consultations
  • Automated security vulnerability scanning

Expected Business Outcomes

Projected 60% reduction in administrative overhead for healthcare providers, 75% faster appointment access for patients, and 40% lower operational costs through automated scheduling. Scalable architecture will support 10x user growth without performance degradation, with potential to expand into EU markets.

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