Agentic AI in Healthcare Call Centers: Improving Patient Access
The Smart Call Center: How Agentic AI is Reshaping Patient Access
Table of Contents
Published August 18, 2025
The Persistent Challenge of Healthcare Access
Despite the growing availability of digital health tools, the healthcare call center remains a critical – and often strained – point of contact for patients. From confirming appointments to requesting prescription refills, many individuals still rely on phone calls to navigate the healthcare system. A 2025 analysis by Relatient found that as many as 15% of scheduled appointments generate calls simply to confirm details, consuming valuable staff time and resources.
Beyond Basic Automation: Understanding Agentic AI
Agentic AI represents a significant leap forward in voice technology. Unlike traditional systems that simply route callers to staff, agentic AI understands the *intent* behind a request, determines the appropriate action, and completes it within pre-defined rules. In a healthcare setting, this means safely and accurately handling tasks like appointment rescheduling, confirmation, and even pre-visit instructions.
The key difference lies in autonomy.While many voice technologies act as digital gatekeepers, agentic AI operates independently, applying logic based on visit types, provider preferences, and established workflows. This capability allows organizations to resolve a substantial number of calls – up to 20% – without any human involvement, particularly for common scheduling tasks.
what appears to be a simple request – like rescheduling an appointment – is frequently enough governed by a complex web of operational rules. These include factors like appointment availability, provider schedules, location-specific restrictions, and departmental protocols. Basic automation struggles to navigate these nuances, but agentic AI is specifically designed to operate within them.
as Paul Troutt, VP of Product at Relatient, succinctly puts it, “you do not really have an AI problem. You have a scheduling problem.And you need to evaluate what is the right tool for it.” The true value of agentic AI isn’t just its ability to speak and respond, but its capacity to act in accordance with real-world policies and constraints.The more structured the environment, the more effectively it can perform.
lessons from Early Implementations
Prosperous implementation of agentic AI isn’t about replacing staff; it’s about empowering them. The most effective programs begin with well-documented, consistent workflows where automation can demonstrably improve the patient experience. Organizations often start with simple tasks like cancellations, reschedules, and confirmations, gradually expanding the scope as they build confidence in the system’s reliability.
Raleigh Orthopaedic, utilizing Relatient’s Dash Voice AI, has seen impressive results. More than half of rescheduling requests are now handled without staff intervention, and half of patients offered a self-scheduling link via text accept it. Olivia Collazo, Patient Access Manager at Raleigh Orthopaedic, notes, “We’ve seen that if you do it well, patients don’t even realize they’re speaking to AI,” highlighting the potential for a seamless and positive patient experience.
Furthermore, automation that mirrors the actions of a human scheduler leads to fewer call transfers and reduced staff burnout, freeing up personnel to focus on more complex and time-sensitive patient needs.
A Long-Term Strategy for Scalable Patient Access
For years, healthcare call centers have been viewed as a necesary cost of doing business. Agentic AI has the potential to transform them into drivers of efficiency and patient satisfaction. By autonomously resolving routine requests, AI reduces hold times, improves first-call resolution rates, and modernizes access to care, ultimately alleviating pressure on already overburdened healthcare systems.
The future of patient access isn’t just automated - it’s intelligent.