Book a 30-minute live demo with a patient access specialist. We'll walk you through exactly how Keona fits your medical practice or healthcare system workflows.
Schmitt-Thompson guided protocols in real time, exactly how your nurses would use them
Bi-directional write-back to Epic, Cerner, Athena, or your requested EHR system, live in the demo
How the metrics are captured and reported, including time-to-answer, first-contact resolution, and no-show reduction for your context
Pick a time that works for you. We’ll confirm within one business day.
We'll tailor the demo to your EHR, specialty, and contact center size.
No slides or scripts. You’ll get a real product demo tailored to your workflows.
Prioritize security and how well the platform fits into real clinical workflows. In a good healthcare CRM demo, you should learn about how a CRM handles patient communication, appointments, EHR Integration, forms/intake, follow-ups, reporting, and everyday logistics. All without adding to staff tasks.
Healthcare-native AI is designed for use in the healthcare environment. This means it understands medical scheduling workflows, patient conversations, HIPAA compliance rules, and EHR systems. Generic AI can work well in conversations but typically misses many aspects of clinical application and healthcare operational needs.
In healthcare contact centers, call completion matters because it prevents delays in care, reduces patient anxiety, and prevents channel congestion. High call completion rates help ensure patients can successfully book appointments, ask questions, and reach the right department without unnecessary delays.
Patient access software allows patients to schedule their appointments, fill out their intake forms, verify their insurance, and understand care services. Meanwhile, call center software mainly manages inbound and outbound communication, such as handling phone queues, routing calls, and supporting customer service teams.
