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Nursing Preceptor Match Platform Optimization and Scalability Enhancement

inveritasoft.com

Medical

Education

Current Platform Limitations

The existing platform suffers from scalability issues, poor user experience, and inefficiencies in critical workflows. Technical challenges with preceptor matching algorithms, document management, and payment processing hinder operational efficiency and user satisfaction.

About the Client

A platform connecting nurse practitioners, advanced practice nursing students, and educational institutions with preceptors across the United States to streamline clinical placements.

Key Project Goals

Enhance platform scalability to support growing user demand
Improve user experience for nursing students, schools, and preceptors
Optimize preceptor matching accuracy and speed
Streamline document management and payment processing workflows

Core System Functionalities

Location-based preceptor search with filtering criteria
Automated matching algorithm for student-preceptor pairing
Secure document upload and management system
Integrated online payment gateway for service transactions
User-friendly dashboard for administrative oversight

Technology Stack

Python

Angular

Azure

External System Integrations

Payment gateway integration (e.g., Stripe/PayPal)
Document management system (e.g., SharePoint/Dropbox)
Geolocation API for location-based matching

Non-Functional Requirements

High scalability to handle concurrent user sessions
Response time under 2 seconds for core operations
HIPAA-compliant data security measures
Cross-browser compatibility

Expected Business Impact

Improved operational efficiency through automated workflows, 30% reduction in administrative overhead, enhanced user satisfaction from streamlined processes, and increased platform reliability supporting business growth.