Revolutionizing Fertility Care through AI-Driven Data Intelligence

The Solution

Big Blue AI developed an advanced, end-to-end data intelligence pipeline designed to transform fragmented web data into a structured engine for personalized path to fertility.

• Automated Data Acquisition: Implemented large-scale web scraping to unify clinic, doctor, and patient review data from multiple disparate sources.
• AI-Powered Intelligence: Leveraged NLP and LLMs for multi-class sentiment, emotion, and topic modeling to extract deep insights from thousands of unstructured reviews.
• Entity Matching & Validation: Developed a sophisticated matching algorithm to align web data with official fertilization authority records, ensuring 100% data integrity.
• Clinical Profiling: Created automated, LLM-driven profiles that provide structured, actionable intelligence on clinic specialties and treatment outcomes.

The Challenge

Medipass faced significant complexity in building a robust backend for "fertilityPATH" due to highly fragmented and inconsistent data across the fertility sector. The absence of a unified data infrastructure made it impossible to power their discovery and recommendation systems effectively. Without a way to automate the collection and analysis of clinic performance and patient sentiment, Medipass risked losing its competitive edge in delivering real-time, personalized matching for the fertility journey.

The Impact

The implementation delivered immediate, measurable improvements to Medipass’s data capabilities and product potential. With hundreds of clinics and doctors processed, the impact is tangible:

• 100% automated review intelligence, converting thousands of unstructured comments into structured sentiment, emotion, and treatment signals.
• 3 disparate data ecosystems unified (HFEA, review platforms, and cost data) into production-ready datasets.
• Scalable foundation for personalization, enabling the recommendation engine to match patients based on complex emotional and clinical needs.

How Big Blue AI helped

Beyond the technical implementation, Big Blue AI acted as a strategic partner to bridge the gap between raw data and healthcare insights. Our team prioritized Entity Resolution, solving the challenge of inconsistent clinic data through multi-attribute matching (names, addresses, postcodes) combined with rigorous validation. By investing early in data standardization, we ensured that the downstream AI and LLM outputs were not only accurate but also explainable. This collaborative approach transformed a complex data problem into a strategic asset, providing Medipass with a future-proof infrastructure ready for predictive analytics and expansion into new care pathways.