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Secure Healthcare Communication Platform Development
  1. case
  2. Secure Healthcare Communication Platform Development

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Secure Healthcare Communication Platform Development

miquido.com
Medical
Health & Fitness
Information technology

Current Communication Challenges in Healthcare

Inefficient and fragmented communication between healthcare practitioners leads to wasted time, potential medical errors, and reduced patient care quality. Existing tools lack integration with hospital systems and fail to meet strict security requirements.

About the Client

A healthcare technology company developing secure communication solutions for medical professionals

Key Project Goals

  • Develop a secure, HIPAA-compliant communication platform
  • Integrate with existing hospital information systems
  • Reduce daily communication time by at least 60 minutes per practitioner
  • Ensure compliance with UK healthcare data protection regulations

Core System Requirements

  • End-to-end encrypted messaging
  • User authentication with multi-factor verification
  • Integration with electronic health records (EHR) systems
  • Real-time notification system for critical alerts
  • Secure file sharing for medical documents
  • Cross-platform mobile and web access

Technology Stack

Android SDK
iOS Swift
Cloudflare for security infrastructure
WebRTC for real-time communication
AWS for HIPAA-compliant cloud hosting

System Integrations

  • Hospital EHR systems (e.g., Epic, Cerner)
  • Medical device data interfaces
  • Active Directory/LDAP authentication
  • Cloudflare security APIs

Non-Functional Requirements

  • Military-grade encryption (AES-256)
  • 99.99% system uptime SLA
  • Sub-200ms message delivery latency
  • Compliance with NHS Digital Security and Service Standards
  • Scalable architecture for 100,000+ concurrent users

Expected Business Impact

Implementation of this secure communication platform is projected to save healthcare professionals approximately one hour of administrative communication time daily, reduce medical errors through improved information accuracy, and enable compliance with stringent healthcare data regulations, potentially reducing organizational liability risks by up to 40%.

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