Eleven : Case Study

Project Overview

Hybrid Mediaworks was approached to develop "Eleven," a sophisticated medical application designed to connect clients with medical practitioners on a global scale. This case study details our journey in creating a platform that bridges geographical gaps in healthcare access.

Industry

Medical

Business Type

Franchise

Services

Design, Development, and Deployment

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How We Helped Eleven Reach a New and Massive User Base in U.S

Dual Dashboard System

We implemented a two-dashboard approach:

  1. Client Dashboard: For patients seeking medical consultations
  2. Practitioner Dashboard: For healthcare providers managing their profiles and appointments

This dual system required careful design to ensure a seamless experience for both user types while maintaining distinct functionalities.

Advanced Search and Matching

A standout feature of Eleven is its sophisticated search mechanism:

  • Multiple filter options for precise practitioner matching
  • AI-driven recommendations based on:
     
    • Medical conditions
    • Geographic proximity
    • Practitioner specialties and ratings

Implementing this system involved complex algorithm development to balance various factors and provide the most relevant results.

Global Appointment Scheduling

The international scope of Eleven presented a unique challenge: time zone management. We addressed this by:

  • Developing a smart front-end design that accurately displays meeting times for both parties
  • Implementing automatic time zone conversion
  • Creating visual cues to prevent confusion about appointment times

Technology Stack

We utilized a robust technology stack to build Eleven:

  • Backend: Laravel and PHP for a secure and scalable server-side architecture
  • Frontend: React.js for a responsive and dynamic user interface
  • Database: MySQL for efficient data management
  • Hosting: AWS servers for reliable and scalable cloud infrastructure
  • Version Control: Git for collaborative development and code management

Development Process

Initial Planning and Estimation

The initial planning and estimation phase projected a timeline of 4-5 months for core feature development, with a thorough requirement analysis conducted to map out all necessary functionalities. An agile development approach was adopted, featuring two-week sprint cycles to ensure steady progress. Regular client meetings were held to provide updates and integrate feedback effectively. Continuous integration and deployment practices were also implemented, allowing for rapid iterations and seamless adjustments throughout the development process.

Overcoming Challenges

Time Zone Complexity

A custom time zone handling library was developed, followed by extensive testing with users from multiple time zones to ensure accuracy. Intuitive UI elements were implemented to clearly display time information, enhancing the overall user experience.

AI-Driven Matching Algorithm

Collaboration with medical professionals was key to understanding the optimal matching criteria for the project. The AI model was developed iteratively, with continuous refinement based on test data and user feedback. Additionally, a learning system was implemented to enhance matches over time by analyzing and adapting to user interactions.

Post-Launch Collaboration

After the initial launch, our partnership with Eleven extended for an additional year, concentrating on several key areas. We focused on feature enhancements driven by user feedback, performance optimizations to accommodate the growing user base, and the integration of new medical specialties and consultation types. Additionally, we expanded language support to ensure a truly global reach.

Project Outcomes

1

A user-friendly interface for both clients and practitioners​

2

Accurate, AI-driven practitioner matching​

3

Seamless global appointment scheduling​

4

Secure video consultation capabilities​

The Results

2M

Downloads

500K

New Users Acquired

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