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Development of a High-Performance Personalized Mental Health Support Platform for Corporate Teams
  1. case
  2. Development of a High-Performance Personalized Mental Health Support Platform for Corporate Teams

Development of a High-Performance Personalized Mental Health Support Platform for Corporate Teams

sda.company
Medical
Business services

Identified Challenges in Delivering Reliable and Efficient Mental Health Support Services

The client faces significant issues with platform instability, slow response times (currently up to 15 seconds), security vulnerabilities, and unreliable email notification systems, leading to user dissatisfaction and reduced trust in the platform’s ability to provide timely mental health support to global corporate employees. Additionally, lack of comprehensive system documentation hampers ongoing development and troubleshooting efforts.

About the Client

A mid-sized enterprise providing mental health and wellness services to corporate clients with a focus on accessible, personalized therapy solutions for international teams.

Goals for Enhancing Mental Health Support Platform Performance and Security

  • Achieve a tenfold increase in platform speed, reducing request processing time from up to 15 seconds to approximately 1 second.
  • Implement robust security measures and logging systems to monitor user activity and technical events, ensuring compliance with privacy regulations and safeguarding sensitive data.
  • Fix existing issues with email notifications to ensure consistent and reliable communication with users.
  • Develop comprehensive system documentation covering architecture, workflows, and bottlenecks to facilitate future enhancements and troubleshooting.
  • Enhance user experience through personalized matching algorithms, quick session booking, and accessible supportive content.

Core Functional Specifications for the Mental Health Support System

  • Personalized match-making algorithm to connect employees with suitably matched licensed therapists.
  • Session booking system allowing scheduling and follow-up appointments via an intuitive interface, avoiding wait lists and phone calls.
  • Real-time messaging and 24/7 helpline support with mental health experts to provide immediate assistance.
  • Usage-based billing feature that charges employers only for sessions utilized by their team members.
  • A rich library of mental health resources, including articles, videos, and workshop series, to support user well-being.
  • Robust logging and monitoring tools to track user activity and technical performance, facilitating quick issue resolution.

Preferred Technology Stack and Architectural Approach

Responsive web application architecture
Real-time communication protocols for instant messaging and helpline (e.g., WebSocket, RTC)
Secure backend with encryption and compliance with privacy standards
Comprehensive logging and monitoring frameworks

Essential External System Integrations

  • Email notification service for reliable messaging
  • Secure payment gateway for usage-based billing
  • Third-party authentication providers (e.g., OAuth, SSO)
  • Mental health licensing databases for therapist verification

Key Non-Functional System Requirements

  • Performance: Reduce request latency to approximately 1 second for critical API calls
  • Security: Implement strong logging, user activity monitoring, and data encryption
  • Scalability: Support growth to accommodate high concurrent user sessions without degradation
  • Availability: Ensure 24/7 uptime with minimal downtime and reliable disaster recovery protocols
  • Compliance: Align with prevailing privacy regulations and standards for health data

Projected Business Benefits and Outcomes

The initiative aims to significantly improve user satisfaction and trust by delivering a fast, secure, and reliable mental health platform, reducing request processing times from up to 15 seconds to around 1 second. Enhanced security and stability are expected to lower user complaints and increase platform adoption among corporate clients. The improved system will facilitate better mental health support, potentially reducing burnout and stress among employees, thereby contributing to healthier organizational cultures.

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