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Development of Next-Generation Telemedicine Platform with Scalable Infrastructure
  1. case
  2. Development of Next-Generation Telemedicine Platform with Scalable Infrastructure

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Development of Next-Generation Telemedicine Platform with Scalable Infrastructure

plavno.io
Healthcare

Current Challenges in Healthcare Communication and Scalability

Existing healthcare systems face difficulties in providing seamless patient-doctor communication through reliable video consultations, while also struggling to scale infrastructure efficiently to accommodate growing user bases and data volumes.

About the Client

Healthcare technology provider specializing in digital patient-doctor communication platforms

Key Project Objectives

  • Enable secure, high-quality video consultations across multiple platforms
  • Streamline appointment scheduling through intelligent calendar integration
  • Establish scalable cloud infrastructure for dynamic resource allocation
  • Ensure seamless integration with existing healthcare ecosystems

Core System Functionalities

  • Cross-platform video conferencing with WebRTC technology
  • AI-powered appointment scheduling system
  • Integrated payment gateway for consultation fees
  • Document sharing and medical record review capabilities

Technology Stack Requirements

WebRTC for real-time communication
AWS CloudFormation for infrastructure automation
AWS Lambda for serverless microservices
React/TypeScript for frontend development

System Integration Needs

  • Electronic Health Record (EHR) systems
  • Payment gateways (credit card/PayPal)
  • Calendar/booking platforms (Google Calendar, Outlook)

Performance and Quality Standards

  • Auto-scaling infrastructure for variable loads
  • End-to-end encryption for HIPAA compliance
  • 99.9% uptime SLA for critical services
  • Adaptive bitrate streaming for video calls

Expected Business Impact

Implementation of this telemedicine platform is projected to reduce patient wait times by 60%, increase specialist accessibility by 75%, and improve overall healthcare delivery efficiency through automated scheduling and scalable cloud infrastructure.

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