Work Overview:

Built a comprehensive analytics system for a regional healthcare network to optimize patient care and operational efficiency. The solution processes millions of patient records and clinical data points to provide actionable insights for healthcare providers and administrators.

Objectives:

1. Create a secure, HIPAA-compliant data analytics platform that integrates multiple data sources including EHR systems, billing records, and patient feedback
2. Develop predictive models for patient admission rates, resource allocation, and treatment outcomes
3. Design an intuitive dashboard interface that enables quick decision-making for both clinical and administrative staff

Scope of Work:

Our team delivered a full-cycle development project including:

• Custom ETL pipelines for data integration from multiple sources
• Machine learning models for predictive analytics
• Real-time monitoring and alerting system
• Interactive dashboards with role-based access control
• Mobile app for healthcare providers
• Complete documentation and staff training

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The platform has reduced operational costs by 23% and improved patient satisfaction scores by 31% within the first year of implementation.

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