The AI storm has calmed, and the reality of implementation has set in. This in-depth case study showcases the real-world journey of AI implementation in PX, from initial excitement to the realities of day-to-day impact. Through a candid, data-driven narrative, learn how one organization navigated the challenges of adoption, measured true ROI and learned from both successes and setbacks.
Health systems today face a dual mandate: elevate the patient experience while simultaneously driving greater operational efficiency. Meeting rising expectations requires more than traditional outreach—it demands a smarter, more personalized approach to engagement.
How do you maximize the human capital of every patient interaction, setting boundaries for outreach frequency to avoid fatigue and designing engagement journeys that feel personal, not transactional? This think tank will explore and equip attendees with practical strategies for doing more with less, delivering high-touch care on a tight budget.
As patients move between providers of care to achieve their desired health outcomes, the end result can be fragmented workflows and disconnect digital tools – leading to eroded trust, delayed access and fragmented experiences. In this panel, PX leaders will explore how they can create more seamless and navigable experiences across the healthcare ecosystem.
Patients calling a healthcare contact centre are often navigating a system that already feels overwhelming. The AI handling those calls needs to be accurate, compliant, and sensitive — and it needs to work with the clinical and administrative systems, as well across multiple different facilities with different requirements.
In this session, Omilia makes the case that most healthcare AI deployments fail not because the technology is wrong, but because the AI wasn't built for the complexity of healthcare.
Prior authorisations, insurance verification, appointment scheduling across multiple clinic systems - these are not FAQ interactions. They require deep integration, HIPAA-grade auditability, telephony level integrations and AI that adapts continuously as coverage terms and care protocols change, without manual retraining or vendor re-engagement.
True agentic AI doesn't wait to be retrained - it improves itself.
We'll cover
• How to deploy AI across a complex, multi-system healthcare environment
• Where LLMs add genuine value in healthcare service automation and where purpose-built voice AI is the right tool for live patient calls.
• What the Glass Box approach means for compliance teams who need a full audit trail on every automated patient interaction.
Deployment in two weeks. ROI in three months. Patient service that improves without adding to your team's workload.
Healthcare has reached a breaking point where workforce shortages and operational friction cost the industry billions. While most automation merely deflects simple tasks, Agentic AI acts as a "control tower," reasoning across EHR, CRM, and billing systems to execute complex, multi-step workflows.
In this session, Sunny Nanda from NiCE will demonstrate how Agentic AI Orchestration serves as the "connective tissue" of the healthcare ecosystem. By moving beyond simple automation to autonomous agents that can reason across clinical (EHR) and operational (CRM, Payer Portals) systems, organizations can transform high-friction touchpoints into seamless flows.
In today’s healthcare environment, where high turnover and interconnected PX and EX experiences are prevalent, meaningful recognition is essential
Provider skepticism toward patient experience initiatives is common—often rooted in competing priorities, change fatigue, and past efforts that failed to translate into meaningful clinical impact. This session explores how targeted training, collaborative rounding, and shared ownership can transform skepticism into authentic provider engagement and sustained partnership.