HIMSS 2026 Demo

Demo 1: Orchestration/Agentic Routing

What’s Happening:
The system captures an inbound patient request and uses AI to understand intent in real time, such as scheduling, billing questions, or clinical inquiries. Rather than relying on static IVR menus, the system dynamically interprets the patient’s needs and context.

Why It Matters for Healthcare Organizations:

  • Reduces patient frustration from long IVR trees
  • Improves accuracy of routing from the very first interaction
  • Enables faster access to the right department or resources

Demo 2: Verification of Patient

What’s Happening:
The system securely verifies the patient’s identity at the start of the interaction using automated prompts and intelligent data capture. This may include confirming demographic details, date of birth, or other identifiers—without requiring extensive manual effort from a live agent.

Why It Matters for Healthcare Organizations:

  • Reduces time spent on repetitive verification tasks
  • Improves accuracy and consistency of identity verification
  • Enhances security while maintaining a seamless patient experience

Demo 3: Scheduling an Appointment

What’s Happening:
The system guides the patient through the appointment scheduling process in real time, helping them select a date and time and matching them with their preferred provider. The experience is conversational and dynamic, eliminating the need for manual searching or back-and-forth with staff.

Why It Matters for Healthcare Organizations:

  • Simplifies and accelerates the scheduling experience for patients
  • Reduces scheduling errors and rework
  • Improves access by surfacing optimal appointment availability

Demo 4: Nurse Triage/Automation of Complex Requests

What’s Happening:
The system engages patients who call in with symptoms and guides them through a structured triage process—capturing key clinical information and assessing urgency in real time. Based on the patient’s responses, the system determines the appropriate next step, such as routing to a nurse, recommending care, or escalating for immediate attention.

Why It Matters for Healthcare Organizations:

  • Ensures patients are directed to the appropriate level of care quickly and safely
  • Reduces unnecessary transfers and delays in clinical response
  • Standardizes triage workflows to support consistency and quality
  • Supports nurses with pre-collected, structured information for faster decision-making

Demo 5: AI Governance

What’s Happening:
The system enforces strict governance controls to ensure interactions remain focused on appropriate healthcare services. If a patient asks questions unrelated to healthcare services, the AI is designed to safely redirect the conversation or decline to respond, keeping interactions compliant and on track.

Why It Matters for Healthcare Organizations:

  • Ensures AI interactions stay aligned with organizational policies and clinical scope
  • Reduces risk of inappropriate or non-compliant responses
  • Supports regulatory and legal requirements for patient engagement