Patented AI Algorithms for Provider Search
Overview
Led development and launch of patented AI algorithms for Provider search optimization, improving member experience and provider network utilization through intelligent recommendations.
Key Outcomes
Patent
AI algorithms granted
Experience
Member satisfaction improved
Network
Utilization optimized
Scale
Enterprise deployment
The Challenge
Members struggled to find the right providers within the network, leading to poor experiences and out-of-network utilization. Traditional search approaches based on location and specialty failed to capture the complexity of member needs and provider capabilities.
My Approach
- Identified opportunity for AI-driven provider search improvement
- Led cross-functional team including data scientists and engineers
- Developed machine learning models incorporating multiple data sources
- Designed and executed A/B testing to validate improvement
- Managed patent application process
- Scaled solution across member-facing applications
Technologies & Tools
Key Learnings
Healthcare AI requires careful attention to clinical accuracy and member trust. Patent-worthy innovations often come from combining existing techniques in novel ways. A/B testing is essential for validating AI improvements in healthcare contexts.
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