What makes a digital tool not just usable, but embraced by clinicians? The answer often lies in empathy-driven design. In this session, healthcare tech leaders explore how they’re reimagining digital experiences—from EHRs to AI interfaces—to align with real-world clinical workflows and pressures. Panelists will share how involving end users early, reducing cognitive overload, and designing with compassion are leading to stronger adoption and better outcomes. If you're building tech for the clinical frontlines, this session will change the way you think about UX.

Most healthcare AI projects stall in “pilot purgatory” because they’re built without the people who actually run healthcare. In this keynote, Shyam Khatau argues that real progress depends on operator intelligence—embedding clinicians, lab scientists, and operations experts into the AI build process. Drawing on lessons from academia, management consulting, Tempus, and Morphomix, he shares a pragmatic roadmap for implementing AI that works: hybrid architectures, phased adoption, and systems that learn from people—not replace them.

Even after go-live, the real work of optimization is just beginning. This roundtable focuses on how leading health systems are approaching EHR improvement as an ongoing process—driven by user feedback, clinical quality goals, and evolving tech capabilities. Discuss governance structures, change management, and how to prioritize enhancements that truly matter to end users. Swap ideas on setting up feedback loops, using analytics to guide decisions, and creating an optimization roadmap that evolves with the organization.

Too many healthcare campaigns waste budget by targeting everyone who has ever prescribed a therapy instead of those who are about to.
This roundtable explores how AI and real-world data are transforming healthcare marketing by predicting which HCPs are actively managing relevant patients right now. Through examples from the GLP-1 market, we’ll discuss how predictive models identify real-time triggers, such as new diagnoses, lab results, and procedures, that indicate true prescribing intent.

Participants will share perspectives on how predictive precision reduces waste, improves efficiency, and helps marketers reach the right HCPs at the right moment. We’ll also touch on what this evolution means for how healthcare brands plan, measure, and optimize engagement in an outcomes-driven world.

Talking Points:
• The Shift to Predictive Precision: Moving from retrospective to proactive targeting.
• Signals That Matter: Diagnoses, procedures, and behaviors that reveal HCP readiness.
• Audience Waste: Quantifying the impact of over-targeting and legacy lookback windows.
• Data Freshness: How often audiences should refresh to stay relevant and compliant.
• Outcomes That Count: Measuring success through prescribing behavior and real-world results.

Your nurse manager misses their pager. Your youngest tech hire sends TikToks during lunch. Somewhere in between, your CMIO is asking ChatGPT to rewrite discharge instructions. Sound familiar? This panel brings humor and humanity to the very real challenge of managing generational differences in a healthcare environment shaped by rapid tech change. We’ll talk about how to design systems, processes, and cultures that work for everyone—from paper-first to AI-native. This lively panel dives into how age-based perspectives impact everything from EHR adoption to change management—and what leaders can do to foster collaboration across the generational spectrum. From onboarding to upskilling, discover how to design for unity in a divided digital world.

It’s one thing to talk about evidence-based medicine, but it’s another to actually translate research, studies, and findings into effective day-to-day clinical management. This talk will look at how to ensure actual patient care, protocols, and quality standards are implemented and updated with the latest evidence in mind.