Real-time healthcare insights with advanced data automation

Automated extraction delivered millions of accurate drug records monthly, driving sustainable healthcare outcomes.

The project by numbers.

2.6M
Drug records delivered
95%+
NER accuracy achieved
300
NHS formularies tracked
4
Stage QA process

Meet the

business.

A leading UK healthcare intelligence provider, delivering crucial news, insights and analytics, across both public and private healthcare sectors. Their data empowers pharmaceutical companies and healthcare professionals to enhance patient outcomes.

Their

challenge.

Manual tracking and extraction of drug recommendation data from hundreds of NHS formularies was resource-intensive, error-prone, and slow. Capturing structured and unstructured data at scale required automation to deliver real-time, accurate insights.

What we

delivered.

Merit developed advanced Python-based scraping and NLP solutions to automate structured and unstructured data extraction from diverse web sources. Robust data transformation processes mapped data to British National Formulary (BNF) standards, and applied National Institute for Health and Care Excellence (NICE) tags, ensuring high accuracy and consistency.

Comprehensive Coverage

Captured 2.6 million monthly records from nearly 300 NHS formularies.

High Accuracy

Achieved over 90% accuracy using advanced NLP and NER techniques.

Rapid Insight Delivery

Automated processing enabled real-time insights for faster decision-making.

Robust Data Quality

Implemented a rigorous 4-stage QA process, ensuring reliable and consistent data.

Ready to discuss

your project?

Whatever the challenge, whatever the industry, our teams work side-by-side with clients to design systems that perform today and evolve for tomorrow. That’s why leading businesses trust us to turn their toughest data ambitions into reality.

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