Case Study
St Luke’s University Health Network: Building an ai-powered Find a Doctor search function
At a Glance
Patients were struggling to find information on specific doctors and treatments directly on St. Luke’s website. Determined to make these details more accessible, the network launched an ambitious initiative to create a more intelligent, user-friendly search experience across services like Find a Doctor, Find a walk-in center, and Find an emergency room.
- Key Services
- Custom Agentic AI Solutions & Development Services
A Smarter Search Experience
The vision was simple: implement an AI-enabled search system that would deliver more relevant, contextually accurate results. Achieving that goal required a combination of cutting-edge technologies. TQA integrated Retrieval Augmented Generation (RAG), injecting relevant content into responses to create a more comprehensive and meaningful search experience. Leveraging secure AI services, TQA can ensure patient data and sensitive information remain protected.
Results at a glance
St. Luke’s continues to fine-tune its AI models, expand its dataset coverage and introduce other exciting features to the site. By embracing AI-driven search and partnering with experts at TQA, St. Luke’s has transformed the way users interact with their search tool. This ongoing evolution ensures that St. Luke’s remains at the forefront of innovation, giving agency back to their patients.
346%
YoY increase in sessions with Find a Location upgrade
437%
YoY increase in sessions with Find a Doctor upgrade
4.9
Customer satisfaction score
The system delivered physician details, location information, and relevant medical content, enhancing the overall user experience. It also provided better results for complex medical queries, reducing the frustration users previously experienced when encountering “no results found” messages. Users benefited from an interactive experience that allowed them to ask questions naturally and receive smart, context-aware responses. Queries such as "new knee" and "cranial extension," which had previously returned little to no useful results, now yield helpful and relevant content.
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