AI-driven automation delivered 95%+ accuracy and 70% faster updates without increasing operational costs.
A UK-based healthcare intelligence provider offering critical data and insights to the NHS, private healthcare organisations, and pharmaceutical companies.
Automate drug recommendation data collection and extraction from 300 UK NHS sources with over 2.5 million documents, including PDFs, unstructured content, and mapping drug data to standard BNF codes.
Data collection was performed using ScrapeX and custom spiders, combined with a Named Entity Recognition (NER) system powered by LLMs with user-defined labels. Data mapping leveraged sentence embeddings, semantic similarity, prompt-based resolution for edge cases, and LLM inference for NICE tagging and BNF code alignment. A normalisation pipeline ensured accurate BNF mapping and presentation matching.
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