Enhancing Search Capabilities with Azure Cognitive Search

Case Study

Challenges

The medical platform, housing the world’s largest medical education library with over 7,600+ authors and 8,500+ PubMed-indexed articles, faced several challenges in optimizing its search and information retrieval systems. The existing search functionality was limited to basic keyword searches, lacked an efficient retrieval system, and did not provide real-time access to the article library. There was a need to improve decision-making capabilities for advanced patient care.

Our Solution

  • Integrated Azure Cognitive Search for real-time search capabilities.
  • Optimized infrastructure and addressed resource inefficiencies using AI-driven cloud performance strategies.
  • Enhanced search functionalities with predictive search, auto-corrections, and search autocomplete.
  • Streamlined data indexing to improve database performance.

Benefits

  • Achieved 3X faster and more precise data retrieval.
  • 25% user growth and a 10% increase in revenue.
  • Improved search accuracy to 99.9% through natural language processing and machine learning.
  • Enabled cross-disciplinary research by facilitating search across various fields.
  • Delivered a customizable search experience tailored to user preferences.

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