Across medical groups, a widening gap has emerged between the demand for timely, accessible care and practices’ ability to deliver it. Nowhere is that gap more visible than in access by phone.
In a world where you can order a pizza in seconds, be in an Uber within minutes, and have groceries delivered to your doorstep within hours, it’s not unreasonable for Americans to expect similar convenience in healthcare. Unfortunately, the industry is still catching up. Hold times can easily exceed five minutes — and often double during peak hours — while dropped calls and unanswered inquiries remain some of the most common frustrations for patients.
These delays frustrate patients and strain the staff on the other end of the line, who are often managing competing demands at once. High abandonment rates are common, with some estimates showing that 60% of patients hang up after just 60 seconds on hold. Even more concerning, 73% of patients ages 17-54 say they would consider switching providers after a poor phone experience.
For healthcare operators and technology leaders alike, phone access has become one of the most visible operational bottlenecks in modern care delivery.
A more efficient way to work
Overwhelmed phone lines have strained already-stretched staff at healthcare systems across the country — from large IDNs to academic medical centers, community health systems and government hospitals. Multi-speciality systems know this better than most due to a multitude of factors:
- Call complexity: more specialities, with certain patients being seen by multiple providers
- Fragmentation amongst speciality groups: each specialty operates with its own workflows, scheduling rules, and priorities
- High transfer rates: this can lead to longer wait times
In short? Multi-specialty practices don’t just handle more calls — they handle more types of calls, each with different rules, workflows, and dependencies. That complexity, not just volume, is what makes phone access so difficult to manage.
While there is no perfect solution, AI-enabled digital agents are designed with these complex patient access workflows in mind. For many teams, “AI in the call center” is synonymous with job loss or dehumanized patient interactions. However the reality for a growing number of systems across the country is just the opposite. Instead of eliminating jobs, AI-enabled agents are allowing organizations to turn down the noise and make better use of employees’ greatest asset — their time.
In healthcare operations, the greatest risk isn’t AI replacing people — it’s organizations that fail to adopt it falling behind. In healthcare-dense markets with multiple provider options, patients have more choice than ever. If access is slow or the experience falls short, they won’t wait long to find care somewhere else.
What follows are three operational advantages organizations may realize when digital agents are introduced to support front-end patient access operations.
Advantage #1: Increase capacity
The biggest breakdown on the phone lines often occurs during regular business hours. Call volume spikes, staff availability fluctuations, and rising abandonment rates create what often feel like a never-ending game of whack-a-mole. Call center representatives put out one fire only to immediately be pulled into the next.
By introducing digital agents capable of managing routine administrative interactions, a growing number of organizations are able to stabilize phone access by absorbing excess demand during peak periods. Calls can still be answered promptly even when human teams are stretched thin. In an effort to “do more with less,” organizations are finding that the integration of digital agents has revealed double-digit improvements in call-handling capacity.
Patients can expect reliable access when they call during the day, and staff are no longer tied up handling the predictable, high-volume interactions that have historically overwhelmed the phone lines. As a result, team members are more available and responsive to the complex or emotionally charged conversations that fall outside standardized workflows — often approaching those interactions with renewed focus, compassion, and energy.
A common lesson has emerged through all of this: automation works best when it absorbs predictable administrative demand while allowing human staff to focus on the moments that require empathy, judgment, and experience.
Advantage #2: Reduce costs
Somewhere along the way, many healthcare providers have confused cost sustainability with spending less. The reality is that meaningful cost stability often comes from aligning resources with the demand for care.
Traditional approaches to expanding capacity rely heavily on adding staff, extending hours or increasing overtime — all of which carry added fixed costs, training time, and turnover.
Teams find success by shifting the mindset from “replace” to “repurpose.” Staff are not being replaced but rather freed from the repetitive administrative tasks so their time can be directed toward higher-value interactions.
Absorbing high-volume, standardized work creates a more stable operational environment while preserving the human element of care delivery.
Over time, improved access can also influence the cost of care itself. No-show rates in many healthcare organizations fall, putting a huge damper on unrealized revenue each month. When patients engage more consistently in preventative services and follow-up care, reliance on higher-cost interventions decreases.
Advantage #3: Bolster morale
Burnout in healthcare jobs is often framed as a resilience issue — but more often it is driven by system design. For front-line administrative teams, it’s not that the tasks are all that difficult or burdensome; it’s that there is no end in sight.
Digital agents can be particularly effective at preventing the avoidable frustration that often fuels tense phone interactions. By shielding human staff from repeatedly serving as the outlet for system-level failures — dropped calls, long hold times, and repetitive administrative requests — teams are able to engage patients more constructively when their time is truly required.
In many organizations experimenting with these tools, leaders report an unexpected outcome: improved morale among front-line teams who are finally able to focus on meaningful patient interactions rather than constant call triage.
Bottom line? You don’t need more people; you need to take care of the people you have and in time you will create a more stable, humane operating environment.
Get started
Technology alone is not the answer to the capacity crisis facing healthcare. But when thoughtfully integrated into care delivery operations, digital tools can help healthcare organizations rebalance workloads and stabilize patient access.
As organizations explore ways to repurpose administrative work, five lessons stand out:
- Repurposing is not a plug-and-play solution. Every organization is different but core tenets should include thoughtful design, clear boundaries, and intentional change management.
- Be direct. Practices have to be crystal clear about what they want digital agents to handle–and save the rest for the human professionals. Standardized administrative tasks are appropriate for digital agents. Clinical decision-making and nuanced medical advice are not.
- Talk to your staff. Transparency is key, and your staff deserves to hear it directly from you. “Our goal is to stabilize operations while ultimately reducing the unsustainable workload you have all been feeling.”
- Talk to your patients. Not every patient wants to use an AI-enabled tool. Make it clear that human assistance is still available particularly during staffed hours, which reinforces the idea that technology exists to improve access, not replace care.
- Execute it the right way. Find a service provider who remains engaged beyond initial deployment, with a passion for high-touch collaboration, rapid feedback loops and iterative refinement. This will keep your sanity and shorten time to value.
Photo: marchmeena29, Getty Images
Matt Johnson, MA, MBA, is Chief Administrative Officer at Wake Internal Medicine Consultants, Inc. in Raleigh, North Carolina. He oversees practice operations and works with clinical and administrative teams to improve patient access, operational efficiency, and the overall care experience.
Aakarsh Sethi, MS is Founder and CEO of Voxology AI, where he leads the development of AI-driven technologies designed to improve patient access and front-office operations in healthcare. Prior to founding Voxology, Sethi was a product leader at Infinx, where he helped build and scale patient access solutions used by major healthcare organizations. He holds a B.S. in Electrical Engineering and an M.S. in Technology Management from the University of Illinois at Urbana–Champaign, where he founded the university’s Product Management organization. Sethi is also a two-time TEDx speaker on AI and the future of healthcare.
Rimmo Jolly, MSIA is Chief Strategy Officer at Voxology AI, where he helps guide the company’s strategy and partnerships at the intersection of artificial intelligence and healthcare operations. A seasoned global executive with more than three decades of leadership experience, Jolly previously spent 18 years at Citigroup in senior roles across the Americas and Asia before joining BlackRock, where he helped lead growth of the firm’s iShares ETF business in the Asia-Pacific region. His career has focused on scaling complex organizations, driving innovation, and applying emerging technologies to transform mature industries.
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