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Development of a Facilitated Freelancer-Client Matching Platform for Professional Services
  1. case
  2. Development of a Facilitated Freelancer-Client Matching Platform for Professional Services

Development of a Facilitated Freelancer-Client Matching Platform for Professional Services

perpetualny.com
Medical

Identified Challenges in Connecting Freelance Professionals with Healthcare Facilities

The client faces difficulties in efficiently connecting freelance veterinary professionals with hospitals due to fragmented communication, lack of transparent matching criteria, and manual management processes. This results in delayed placements, communication gaps, and limited visibility into workforce availability and skills, hindering service quality and operational scalability.

About the Client

A mid-sized healthcare staffing agency seeking to streamline the connection between freelance professionals and healthcare facilities, enhancing transparency, responsiveness, and operational efficiency.

Goals for Developing a Robust Freelancer-Hospital Matching Platform

  • Create an intuitive, user-friendly platform to connect freelance professionals with healthcare facilities seamlessly.
  • Automate shift matching based on skills, availability, and specialization to improve placement accuracy and speed.
  • Implement real-time notifications and communication channels to enhance user engagement and responsiveness.
  • Develop an administrative dashboard for platform management, monitoring KPIs, and data-driven decision-making.
  • Enable detailed profiles and transparent information sharing to foster trust and accountability between professionals and facilities.
  • Integrate rating and feedback mechanisms to ensure service quality and continuous improvement.
  • Support responsiveness across devices through optimized web design.
  • Incorporate community engagement features like news updates and discussions to strengthen user community.

Core Functional Features and System Capabilities

  • User registration and profile creation with detailed skills, experience, and preferences.
  • Shift specialization and dynamic compensation based on complexity and requirements.
  • Automated shift matching system aligning healthcare professionals’ expertise with available hospital needs.
  • Email and text notification system for upcoming shifts, updates, and important deadlines.
  • Full transparency features displaying service offerings, skills, and preferences to facilitate informed matching.
  • All-in-one dashboard for users to manage opportunities, payments, and networking activities.
  • Admin dashboard to monitor platform KPIs, user engagement, and operational metrics.
  • Mutual rating system for providers and facilities to share performance feedback.
  • Community section featuring newsletters, industry news, and user interactions.
  • Live chat support for real-time assistance and issue resolution.

Preferred Technologies and Architectural Approach

React for frontend interface development
Node.js for backend services
AWS cloud infrastructure for deployment and scalability
Redux for state management
MySQL for database management
Figma for UI/UX design

External Systems and Service Integrations Needed

  • Email and SMS gateway services for notifications
  • Payment gateway integrations for managing transactions
  • Third-party authentication and profile verification services
  • Communication tools for live chat support

Key Non-Functional System Requirements

  • Platform must support responsive design to ensure usability across devices
  • Scalable to handle increasing user base and data volume with minimal latency
  • Secure data handling compliant with healthcare data regulations (e.g., HIPAA standards)
  • High system availability with 99.9% uptime
  • Fast load times, aiming for sub-3 second page load across devices

Projected Business Impact and Benefits of the New System

The new platform is expected to significantly improve the efficiency and accuracy of connecting healthcare facilities with qualified freelance professionals. By automating match-making and communication, it will reduce placement times and administrative overhead. Enhanced transparency and rating systems will foster trust and high-quality service delivery. Overall, the platform aims to increase placement success rates by over 20%, improve user engagement and retention, and support scalable growth of the healthcare staffing operation.

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