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Telehealth Platform for Mental Health Support
  1. case
  2. Telehealth Platform for Mental Health Support

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Telehealth Platform for Mental Health Support

lionwood.software
Health & Fitness

Problem Statement

The COVID-19 pandemic, economic instability, and lockdowns have significantly impacted mental health, leading to increased demand for accessible and affordable mental health support. Existing solutions often lack convenient communication methods, personalized therapist matching, and comprehensive health data management.

About the Client

Software development company specializing in healthcare mobile applications.

Project Objectives

  • Expand access to mental healthcare services.
  • Develop an algorithm for accurate and personalized therapist matching.
  • Provide patients with tools for self-management and communication with therapists.
  • Enable data-driven insights into patient health trends.

Functional Requirements

  • Therapist Directory with ratings and profiles
  • Secure messaging and video conferencing
  • Appointment scheduling and calendar management
  • Payment gateway integration
  • Personalized therapist matching algorithm
  • Patient Dashboard for tracking appointments and progress
  • Therapist Dashboard for managing appointments and client data
  • Reporting and analytics dashboard for administrators

Preferred Technologies

NodeJS
React
Figma
iOS
Android

Integrations Required

  • Payment Gateway (e.g., Stripe, PayPal)
  • Video Conferencing API (e.g., Twilio, Agora)

Key Non-Functional Requirements

  • Scalability to handle a growing user base
  • High availability and reliability
  • Robust security to protect patient data (HIPAA compliance)
  • Performance optimization for seamless user experience
  • Cross-platform compatibility (iOS and Android)

Estimated Impact

This telehealth platform is expected to significantly improve access to mental healthcare, leading to increased patient engagement, improved health outcomes, and enhanced convenience. The efficient therapist matching functionality and data-driven insights will contribute to a more personalized and effective treatment experience, ultimately reducing the burden on traditional healthcare systems.

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