Optimizing Search Accuracy: Transforming Search & Retrieval with Azure Cognitive Search

Case Study

Customer

A global medical education platform hosting the world’s largest digital library of clinical insights, featuring 7,600+ authors and 8,500+ PubMed-indexed articles. The platform supports medical students, clinicians, and researchers worldwide, demanding high-speed, accurate, and intuitive information access. 

Industry

Healthcare

Medical Education

Search Intelligence

Cloud Modernization

Solution Area

Azure Cognitive Search

NLP & ML Search Optimization

Cloud Performance Engineering

Challenge

With a rapidly expanding repository of medical knowledge, the platform’s existing search function was no longer sufficient. It relied on basic keyword matching, offered limited filtering, and could not retrieve data in real time. As clinicians increasingly depended on fast and accurate medical references for advanced patient care, the platform needed an intelligent, scalable search solution. 

Benefits & Outcomes

  • 3× Faster, more precise search results across the full medical library 
  • 99.9% Search accuracy through NLP and machine learning 
  • 25% user growth and 10% revenue increase within months 
  • Real-time indexing and retrieval of new medical publications 
  • Predictive search, auto-corrections, and autocomplete for enhanced user experience 

Get the full case study to see how Azure Cognitive Search upgraded one of the world’s largest medical knowledge platforms into an intelligent, real-time research engine. 

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Testimonial

Our users no longer search for information, they discover it. The speed and precision we’ve gained has elevated both learning and clinical decision-making.