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Development of Personalized Mental Health Platform with Integrated Therapy Solutions
  1. case
  2. Development of Personalized Mental Health Platform with Integrated Therapy Solutions

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Development of Personalized Mental Health Platform with Integrated Therapy Solutions

sda.company
Health & Fitness
Technology
Wellness

Current Mental Health Service Challenges

Fragmented mental health services, lack of personalized therapy options, limited accessibility to professional help, and insufficient digital tools for self-care management create barriers for users seeking effective mental health support.

About the Client

A health technology company focused on providing accessible mental health solutions for corporate employees and individuals

Platform Development Goals

  • Create a comprehensive mental health marketplace connecting users with licensed therapists
  • Develop personalized therapy plans with AI-driven recommendations
  • Implement secure telehealth capabilities for virtual sessions
  • Design engaging self-care tools for anxiety and depression management

Core System Requirements

  • Therapist profile search with specialization filters
  • AI-powered mood tracking journal with insights
  • Secure video conferencing for therapy sessions
  • Corporate mental health program administration dashboard
  • Progress tracking with customizable wellness goals

Technology Stack Preferences

React Native for cross-platform mobile development
Node.js backend with GraphQL API
AWS for cloud infrastructure
Twilio for secure communications
Stripe for subscription management

System Integration Needs

  • Electronic Health Record (EHR) systems
  • Corporate HR platforms (e.g., Workday)
  • Telehealth API providers
  • Payment gateways

Performance & Security Requirements

  • HIPAA-compliant data encryption
  • 99.9% system uptime SLA
  • Real-time session synchronization
  • Multi-factor authentication
  • Scalable architecture for 100k+ concurrent users

Expected Business Outcomes

Projected 40% increase in therapy accessibility for corporate clients, 60% improvement in user engagement metrics through personalized features, and 30% reduction in mental health service delivery costs through automated matching algorithms.

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