At first glance, losing call center staff might not seem as urgent as a hospital facing a nursing shortage. However, these professionals serve as a crucial link between patients and their care--handling everything from scheduling appointments to addressing urgent concerns. When healthcare call centers experience attrition, wait times increase, frustration grows, and the remaining staff faces an unsustainable workload.
Simply hiring more staff is often not the most feasible or financially-viable solution—recruitment takes time, and retention remains uncertain in call center environments. Some healthcare organizations are turning to AI, not to replace human agents but to support them. AI-driven automation can reduce administrative burdens, assist overwhelmed staff, and ensure patients receive timely assistance rather than experiencing long hold times. The question isn’t whether AI can enhance healthcare call centers, it’s a matter of how quickly it can be implemented to prevent further strain in the patient access department.
Boosting Efficiency with AI Automation
Running a healthcare call center is a costly endeavor, averaging $13.9 million annually, with nearly half of those expenses tied to labor. The core issue isn’t just cost; however, it’s inefficiency. Approximately 40% of call center leaders cite burnout, turnover, and staffing shortages as their most pressing challenges. Add to these repetitive tasks and complex workflows and the system becomes more of a bottleneck than a solution.
Automation is not a fix-it-all solution but it does present a way forward. AI-powered scheduling tools allow patients to book, reschedule, and confirm appointments without waiting on hold. This can significantly reduce call volumes and errors while freeing up agents to handle more complex inquiries.
AI can also optimize call routing, eliminating the frustration of being transferred multiple times. Smart routing tools analyze inquiries in real time, which ensures patients reach the correct department or specialist immediately. The result? Shorter wait times, reduced patient frustration, and a smoother experience for individuals already dealing with stressful healthcare concerns.
AI can also optimize call routing, eliminating the frustration of being transferred multiple times. Smart routing tools analyze inquiries in real time, which ensures patients reach the correct department or specialist immediately. The result? Shorter wait times, reduced patient frustration, and a smoother experience for individuals already dealing with stressful healthcare concerns.
This technology does not replace human agents. Instead, it gives them more bandwidth to focus on complex cases that require empathy and expertise. AI doesn’t remove people from the equation—it ensures that when patients call, they receive meaningful support not just hold music.
Enhancing the Patient Experience
Healthcare call centers often fall short of patient expectations. In fact, only 51% of call center leaders believe their patients are satisfied, citing long wait times, impersonal responses, and restrictive business hours as major issues.
AI tools have the potential to transform these interactions, making them not only faster but more personalized. By accessing patient history, appointment details, and preferences, AI-powered assistants can provide tailored responses without requiring patients to repeat the same information multiple times. This reduces bureaucratic frustration and improves the overall patient experience.
Healthcare needs don’t pause at the end of the workday yet many call centers operate on traditional business hours, leaving patients waiting for answers to pressing concerns. AI-driven support systems can provide assistance 24/7, ensuring patients receive timely responses regarding prescription refills, appointment scheduling, or basic medical guidance.
Language barriers also pose a challenge. Hiring multilingual staff at scale is costly but AI-powered translation tools can help facilitate seamless communication, ensuring patients receive accurate information in their preferred language.
AI Can Support Patient Access Professionals
Conversations around healthcare often focus on patient needs but behind every patient is a team of professionals navigating an increasingly demanding system with limited resources. Healthcare call center agents juggle scheduling, billing inquiries, prescription refills, and insurance disputes often without the necessary support. Shockingly, 22% of call centers report having no technology in place to mitigate burnout and turnover. AI can help bridge this gap by handing routine inquiries—such as insurance verification, payments, and prescription questions—so agents aren’t bogged down by repetitive calls. Research indicates that AI could potentially take over around 34% of inbound calls, and the technology already exists to resolve up to 85% of routine inquiries without human intervention.
Reducing the burden on healthcare call center agents allows them to focus on interactions that require emotional intelligence and problem-solving, which can build trust and improve patient satisfaction. A well-integrated call center should be a seamless connection between patients and their care, not an obstacle course of inefficiencies. Again, it’s important to note that AI won’t replace human interaction, but it can create the space needed for more of it.
Addressing the Challenges Ahead
While AI can be seen as a revolutionary force for efficiency, it’s often viewed as a threat to human jobs. Closer to reality, AI excels at processing routine tasks with speed and accuracy but lacks the critical thinking and empathy that human agents provide. The best approach isn’t between automation and human interaction—it’s integrating both. AI should clear away administrative noise where possible so human call center agents can focus on the patient interactions that matter the most.
Of course, implementing can come with challenges. Data security and compliance aren’t just minor considerations, especially in healthcare environments. Rather, they are fundamental requirements. Healthcare call centers handle highly sensitive patient information so AI tools must incorporate robust protection including encryption, access control, and real-time monitoring. The consequences of a privacy breach are severe, making cybersecurity a top priority.
Looking ahead, AI’s potential extends beyond merely responding to patient inquiries. It can proactively anticipate needs. Predictive analytics could potentially revolutionize healthcare by identifying patients who require follow-ups, medication reminders, or early intervention before their conditions worsen. Instead of waiting for patients to reach out, AI-driven systems could enable healthcare providers to take a more proactive approach, improving outcomes and, possibly, preventing crises before they occur.
When used effectively, AI won’t weaken the human element of healthcare—it will enhance it. By combining technology with human expertise, AI can help create a more efficient and compassionate healthcare system.
Sources https://www.hyro.ai/blog/the-new-contact-center-how-ai-impacts-and-enhances-healthcare-call-centers/ and https://landing.hyro.ai/hubfs/Hyro%20-%20The%20State%20of%20Healthcare%20Call%20Centers%202023%20Report.pdf
In healthcare, every moment counts, especially when it comes to patient outcomes. Meeting patient expectations for timely and efficient service is essential, yet the healthcare industry faces unique challenges in achieving this balance. Recent survey results highlight key findings in the disconnect between patient expectations and healthcare realities, offering actional insights for providers.
While healthcare leaders reported average hold times of 58.3 seconds, patients perceived these waits to last 3 minutes or more. This is one disconnect that emphasizes the need for accurate reporting tools to identify areas of improvement such as response times, in hopes the patients will receive timely care with less frustration in the process.
Some healthcare providers utilize chatbots to streamline patient communication but, according to this survey, many of these Artificial Intelligence (AI) tools fall short. In fact, over 70% of users reported frustration from needing to repeat themselves, while more than 50% struggled to escalate their issues to live agents. To address this, healthcare providers must make an investment in tools such as integrated communications platforms that work seamlessly with patient service tools and, possibly, advanced AI-powered chatbots tailored for patient interactions.
In 2025, patients have the expectation of around-the-clock availability, with nearly 80% of patients surveyed favoring 24/7 access. However, nearly 70% of healthcare providers cited budget limitations as a barrier. Perhaps the solution lies in a balance between combining automated tools, self-service options, and live support to meet patient needs without overstretching resources.
Survey results indicate that many healthcare organizations are open to innovative technologies, with more than 60% eager to enhance their patient contact center capabilities. Solutions such as Call Center as a Service (CCaaS) and unified communications aim to streamline call center operations, improve patient experiences, and integrate with legacy systems for a comprehensive approach.
By adopting a cloud-based, integrated solution, healthcare providers can potentially bridge the gap between patient expectations and service realities—ultimately delivering exceptional care. In today’s fast-paced healthcare environments, aligning patient expectations with operational capabilities isn’t just desirable—it’s essential. Investing in the right technologies and strategies can help providers meet these challenges head-on, improving outcomes for patients and healthcare organizations alike.
The informative survey results can be found here: https://assets.asccommunications.com/whitepapers/ringcentral-wp-january-2025.pdf
The role of healthcare call centers is evolving as patient expectations rise and operational challenges mount. Despite their critical role in patient-provider communication, these centers are often constrained by budget limitations, outdated technology, and labor inefficiencies. Insights from Hyro’s “The State of Healthcare Call Centers 2023” industry report shed light on these issues and offer a roadmap for improvement.
Labor Costs Dominate Budgets but Technology Investment Falls Short
Most healthcare call centers allocate a significant portion of their annual operating budgets–an average of 43%–to labor costs, including hiring, training, salaries, and benefits. Surprisingly, only 0.6% of these budgets are spent on technology aimed at preventing burnout and turnover among call center agents. This stark disparity underscores the urgent need to rethink budget priorities to address the primary drivers of inefficiency: labor-related issues such as burnout, turnover, and workforce shortages, which were cited by 39% of respondents.
The Growing Role of AI and Automation
While 46% of healthcare call centers are evaluating, deploying, or have already deployed large language models (LLMs), the impact of this technology is yet to be fully realized. This signals a vote of confidence in automation and AI, even though their integration into day-to-day call center operations remains limited. As automation technologies matures, they offer significant potential to alleviate inefficiencies and improve service delivery.
Proving ROI Remains a Challenge
A striking 67% of survey respondents admitted they find it difficult to provide their call center’s return on investment (ROI). Furthermore, 74% reported facing pressure from executive management to demonstrate the call center’s ability to generate profit rather than being perceived as a cost center. These challenges highlight the important of integrating robust metrics and technologies to capture the true value of call center operations.
Patient Satisfaction and Service Gaps
Only 51% of respondents indicated their patients are satisfied with their call center’s service. Long hold times, average 4.4 minutes–far exceeding the Healthcare Financial Management Association’s (HFMA) goal of 50 seconds–and inefficient workflows contribute to dissatisfaction. Additionally, 16% of calls end in abandonment, and nearly 50% of patients must call more than once to resolve their issues, further highlight the need for improved first-call resolution (FCR).
Outdated Technology and Inefficient Workflows
Despite advancements in AI and automation, many healthcare call centers continue to rely heavily on outdated technologies such as interactive voice response (IVR) systems (84%) and automatic call distribution (ACD) systems (82%). Alarmingly, 49% of respondents’ agents manually track, categorize, and report call drivers, often using periodic surveys. These methods are prone to human error and misinterpretation, leading to unreliable insights and hindered decision-making.
Metrics That Demand Attention
- Average Handle Time (AHT): Healthcare call centers report an average AHT of 6.6 minutes, consistent with industry standards. However, increasing staff size alone does not significantly reduce AHT, emphasizing the need for innovative solutions.
- Cost Per Call (CPC): The average CPC is $4.90, with some centers incurring costs as high as $10-$15 per call. For a call center with 350 agents handling 26,250 calls daily, this equates to $128,625 in daily expenses. Automating 34% of calls with technology, including AI, could save as much as $43,702 daily while maintaining service quality.
- Abandonment Rate: An average abandonment rate of 16% reflects significant patient dissatisfaction and missed opportunities for engagement.
- After-Hours Calls: Analysis of 300,000 patient calls revealed that 11% were made during off-hours or weekends, indicating a need for extended service hours or alternative solutions.
Key Questions for Reflection
- What does your healthcare call center really cost?
- What’s the real cost of call center attrition?
- Is your call center’s outdated technology costing you money?
The Path Forward
Addressing these challenges requires a shift in mindset. Investing in advanced technologies and AI solutions can reduce inefficiencies, enhance patient satisfaction, and improve ROI. Healthcare call centers must prioritize patient-centric innovations and leverage data-driven insights to remain competitive in an increasingly demanding landscape.
By taking action today, healthcare organizations can transform their call centers from cost centers into profit generators, ensuring they meet patient expectations and operational goals effectively. As Hyro’s report reveals, the future of healthcare call centers lies in embracing change and innovation.
The full Hyro report can be found here: Hyro – The State of Healthcare Call Centers 2023 Report.pdf



