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Global Healthcare Review Platform with AI-Driven Insights and Multi-Market Scalability

gearheart

Medical

Information technology

Health & Fitness

Challenges in Healthcare Provider Transparency and Platform Scalability

Existing platform lacked advanced analytics capabilities, suffered from review fraud, and couldn't scale across international markets. Required modernization of outdated CMS, implementation of machine learning algorithms for data analysis, and infrastructure to support global expansion while maintaining data integrity.

About the Client

UK-based healthcare technology company operating a global patient review platform for healthcare providers

Strategic Goals for Platform Modernization

Develop machine learning algorithms to analyze patient reviews and provider data
Implement multi-market scalability through multitenant architecture
Establish robust review verification system to combat fraud
Enhance patient decision-making through personalized provider recommendations

Core Platform Capabilities

Research algorithm for pattern recognition in patient reviews
Multitenant backend infrastructure for global market support
Two-step review verification system (authentication + fraud detection)
Personalized provider recommendation engine
Cross-platform interface (web + mobile) with provider search capabilities

Technology Stack Requirements

Node.js

Strapi (headless CMS)

React

Flutter

AWS

System Integration Needs

User authentication services
Fraud detection APIs
Cloud storage solutions
Geolocation services

Operational Requirements

High scalability for rapid market expansion
90+ lighthouse performance score
Real-time fraud detection capabilities
Multi-region data compliance (GDPR, HIPAA)

Expected Business Outcomes

Anticipated 80% reduction in fraudulent reviews through algorithmic verification, 150% increase in global user base via multitenant architecture, and 30% higher engagement through personalized recommendations. Platform expansion expected across 6+ international markets with 450,000+ active users.