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Development of AI-Powered Telemedicine Platform for Mental Health Monitoring
  1. case
  2. Development of AI-Powered Telemedicine Platform for Mental Health Monitoring

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Development of AI-Powered Telemedicine Platform for Mental Health Monitoring

inveritasoft.com
Medical
Information technology
Artificial intelligence

Mental Health Care Delivery Challenges

Inconsistent patient-provider communication leading to delayed mental health interventions, complex user interfaces discouraging regular app usage, unreliable video connectivity during critical sessions, and lack of proactive patient engagement mechanisms in existing telehealth platforms.

About the Client

Healthcare technology company specializing in real-time, personalized mental health support through AI integration

Platform Development Goals

  • Create native iOS and Android telehealth applications with seamless user experience
  • Implement AI-powered chatbot for 24/7 patient engagement and triage
  • Develop predictive analytics system for proactive mental health interventions
  • Establish secure real-time video consultation capabilities
  • Reduce administrative overhead through automated care coordination

Core System Capabilities

  • AI-powered customizable chatbot with sentiment analysis
  • High-definition video consultation with low-latency streaming
  • Predictive analytics dashboard for mental health trends
  • Personalized patient engagement workflows
  • Cross-platform synchronization with EHR integration

Technology Stack Requirements

Node.js
React Native
React.js
Swift
Kotlin

System Integration Needs

  • Electronic Health Record (EHR) systems
  • HIPAA-compliant identity verification
  • Secure payment gateway for telehealth services

Operational Requirements

  • 99.9% uptime SLA for critical mental health services
  • End-to-end encryption for all patient communications
  • Scalable infrastructure for concurrent video sessions
  • WCAG 2.1 AA accessibility compliance

Expected Business Outcomes

Enables proactive mental health care through AI-driven insights, reduces clinician workload by 40% through automation, increases patient retention through personalized engagement, and establishes HIPAA-compliant telehealth delivery framework with 24/7 accessibility across multiple platforms.

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