Patient Search in the AI Era: Lessons from University of Utah Health | Sponsored Webinar

Your Website Wasn't Built for How Patients Search Today: How University of Utah Health is Rethinking Content, Data and Discovery for an AI-driven Patient Journey

AI is changing how patients find healthcare before they ever reach a health system website. They’re arriving with more specific questions, higher expectations and often a clearer intent to act. Yet many healthcare websites still rely on fragmented content, disconnected provider and location experiences and navigation structures built for a prior era.

University of Utah Health recognized that improving search was only the beginning. By investing in the data, taxonomy and content foundation behind discovery, the organization has begun creating a more unified experience. This includes a strategy extending to providers, locations, services and health information, all while laying the groundwork for what comes next with AI.

Join University of Utah Health and SearchStax to explore why health systems need to rethink content discovery now, what must be in place before AI can deliver meaningful value and how a stronger discovery foundation can help patients move from intent to their next step in care.

Learning Objectives

1. Recognize where traditional healthcare website structures create friction as patients arrive with more specific intent and increasingly expect direct, relevant answers.
2. Understand how content, data and taxonomy work together to create a discovery experience that connects patients across providers, locations, services and health information.
3. Use search behavior as a source of patient intent, identifying content gaps and opportunities to improve the journey from question to next action.
4. Evaluate their organization’s readiness for AI-driven discovery by identifying the foundational content and data work that needs to happen before AI can deliver meaningful value.

Speakers