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Western New York Dermatology reduced phone dependency and improved scheduling efficiency by implementing self-service scheduling, agentic AI for call handling, and automated waitlist management. This effort resulted in higher call volume capacity and faster slot-filling.
Key Takeaways
- Self-service scheduling doesn’t replace phone calls. It redirects them, freeing staff to handle more complex patient needs that require human judgment.
- Agentic AI goes beyond simple call routing by interpreting patient intent and completes routine requests independently, such as cancellations and reschedules, without staff involvement.
- Automated waitlist management turns cancellations from a revenue loss into a recovery opportunity, filling slots within minutes rather than hours.
- Technology works best when layered thoughtfully. Dermatology practices can start with one workflow, prove reliability, then expand rather than attempting a full overhaul at once.
Western New York Dermatology supports a large and growing patient base across a wide range of visit types, from routine skin checks to complex care management. As demand increased, the organization needed more ways for patients to reach them and more options for scheduling without relying solely on the phone. Hillary Diegelman, their Administrative Supervisor, described the challenge clearly.
“We cannot get enough people to answer the phones,” she shared. “And that is why we have implemented multiple ways and still looking for ways to improve the experience for our patients of how they can schedule that appointment.”
To keep pace with patient needs, the team began exploring digital tools that could expand access while supporting staff.
How can automation and AI improve dermatology practice operations?
Patient Access and Self-Scheduling
- 78% of health systems now offer some form of patient self-scheduling, up from 42% in 2022, but only 34% of patients rate their provider’s self-scheduling experience as “excellent”. (KLAS Research, 2025 Patient Access Report)
- 61% of after-hours bookers say they would not have scheduled at all if self-scheduling were not available. (AMA, 2025)
- 34% of patients who wait on hold more than 3 minutes hang up, and 11% will seek a different provider entirely. (AMA, 2025)
Agentic AI and Call Handling
- More than half of rescheduling requests handled through one agentic Voice AI solution are now resolved without any staff involvement, and 50% of patients offered a self-scheduling link via text accept it. (Becker’s Hospital Review, 2025)
- One health system processing 3.2 million patient interactions per year saved 1 minute per call with agentic AI — recapturing 630 hours of staff time per week. (American Hospital Association, 2026)
Automated Waitlist Management
- The average medical practice loses $150,000–$200,000 annually from unfilled cancelled appointment slots (MGMA, 2025 Practice Operations Report)
- Automated waitlist systems backfill 70% of cancelled slots within 2 hours of cancellation, compared to 25–30% with manual phone outreach (MGMA, 2025)
| Metric | Value | Context | Source |
|---|---|---|---|
| Health systems offering self-scheduling | 78% | Up from 42% in 2022; only 34% of patients rate their provider’s experience as excellent | KLAS Research, 2025 Patient Access Report |
| After-hours patients who would not have scheduled without self-scheduling | 61% | Patients who book after hours say they would have skipped scheduling entirely | AMA, 2025 |
| Patients who hang up after 3+ minutes on hold | 34% | 11% will seek a different provider entirely | AMA, 2025 |
| Rescheduling requests resolved without staff via agentic Voice AI | More than 50% | 50% of patients offered a self-scheduling link via text accept it | Becker’s Hospital Review, 2025 |
| Staff hours recaptured weekly through agentic AI | 630 hours per week | Health system processing 3.2 million patient interactions annually saved 1 minute per call | American Hospital Association, 2026 |
| Annual revenue lost from unfilled cancelled slots | $150,000–$200,000 | Average medical practice annual loss from cancelled appointments that go unfilled | MGMA, 2025 Practice Operations Report |
| Automated waitlist backfill rate within 2 hours | 70% | Versus 25–30% with manual phone outreach | MGMA, 2025 |
of health systems now offer self-scheduling — up from 42% in 2022 — yet only 34% of patients rate their provider’s experience as “excellent.”
KLAS Research, 2025
demand
of after-hours bookers say they would not have scheduled at all if self-scheduling were unavailable.
AMA, 2025
cost
of patients who wait on hold more than 3 minutes hang up. 11% will seek a different provider entirely.
AMA, 2025
of rescheduling requests handled by agentic Voice AI are now resolved without any staff involvement. 50% of patients offered a self-scheduling link via text accept it.
Becker’s Hospital Review, 2025
per week saved by one health system processing 3.2M patient interactions annually — by saving just 1 minute per call with agentic AI.
American Hospital Association, 2026
lost annually by the average medical practice from cancelled appointment slots that go unfilled.
MGMA, 2025 Practice Operations Report
of cancelled slots backfilled within 2 hours
with manual phone outreach
MGMA, 2025
How can Dermatology Practices Make Scheduling Simpler?
Dermatology scheduling carries a unique complexity. With multiple providers, each with different clinical rules, age limitations, insurance requirements, and more, staff were juggling constant decision-making while trying to keep patients moving smoothly through the system.
To make this easier, Diegelman and her team focused on creating workflows that could guide staff through each appointment type and reduce the pressure of remembering every rule in real time.
“It is putting less fatigue on them and just having everything harmonious that way,” Diegelman said.
Building structure into scheduling meant giving every team member the same information at the same time, leading to a more consistent experience for both patients and staff.
How Dermatology Practices Can Reduce Phone Volume with Self-Service Scheduling and Agentic AI
Self-service scheduling refers to digital tools that allow patients to book, reschedule, or cancel appointments directly through a provider’s website or patient portal anytime, without calling the office or waiting on hold.
The first major step Western New York Dermatology took to reduce phone volume was launching self-service scheduling. Their patients could now book appointments directly from the organization’s website under each provider’s name, a simple but intentional shift that helped decrease phone dependency and made scheduling more accessible.
Agentic AI refers to AI systems that can autonomously initiate actions — such as calling patients, sending messages, or routing inquiries — without requiring staff to trigger each interaction.
Once self-service scheduling was in place, the organization introduced agentic AI to automate call handling for routine tasks like cancellations and reschedules. This allowed patients to manage simple appointment changes independently at any time of day, while more complex clinical needs were directed back to staff.
The goal was not to replace the human touch but to ensure patients were matched with the right level of support for their specific visit type.
How Automated Waitlist Management Works for Dermatology and Why It Matters
Automated waitlist management is a system that automatically notifies patients when an earlier appointment becomes available due to a cancellation – filling open slots instantly, without requiring staff to manually work through a call list.
Like many healthcare organizations, Western New York Dermatology maintained an active waitlist. But managing it manually alongside heavy call volume created a significant workload for staff. Patients needed earlier availability, but staff did not have the capacity to call each person individually.
Automating the waitlist changed that. When openings became available, the system reached out to patients automatically and filled slots without requiring staff intervention.
“When people cancel an appointment, the system will reach out to the next patient and say we have an opening,” Diegelman explained.
This was especially helpful on high demand days like Mondays, when no shows and last-minute changes were common.
How Dermatology Practices can Create a More Responsive Patient Experience
The combined impact of self-scheduling, agentic AI, and automated waitlist outreach created a more responsive scheduling experience for patients and allowed staff to focus their time on clinical needs that required empathy and human judgment.
“Our phone calls have actually gone up since adding the AI,” Diegelman adds. “It’s a great problem to have because we are able to handle more calls.”
More calls are handled. More openings are filled. More convenience for patients at any hour. And a more manageable workload for staff.
Implementation Checklist: Getting Started with Scheduling Automation in Dermatology
A Practical Starting Framework
- Map your friction points. Identify where patients struggle to connect, whether that’s unanswered calls, long hold times, limited after-hours access, or appointment types that generate the most staff decision-making burden.
- Start with self-service scheduling for routine visit types. Annual skin checks, established patient follow-ups, and clearly defined appointment types are the lowest-risk starting point. Configure provider-specific rules such as age limits, insurance requirements and visit type restrictions before launch.
- Layer in agentic AI for cancellations and reschedules. Once self-scheduling is stable, automate the most repetitive inbound call types. Measure staff time recaptured and patient resolution rates before expanding to additional call workflows.
- Activate automated waitlist management. Connect your waitlist to your scheduling system so cancellations trigger immediate patient outreach. Configure multi-channel notifications (SMS and email) and set matching rules by appointment type and provider preference.
- Monitor, measure, and expand. Track slot fill rates, call volume distribution, and staff capacity weekly. Use the data to identify the next workflow to automate, rather than activating all capabilities simultaneously.
Frequently Asked Questions
Will self-service scheduling reduce the number of calls a Dermatology practice receives?
Not necessarily, and that’s not always the goal. Western New York Dermatology actually saw call volume increase after implementing self-service scheduling and agentic AI. The difference is that their team was equipped to handle more calls effectively, because routine tasks were no longer consuming their capacity.
Does agentic AI replace front desk staff in dermatology practices?
No. Agentic AI handles routine, repeatable tasks like cancellations, reschedules, and appointment confirmations. This, in turn, frees staff to focus on complex patient needs that require empathy, clinical judgment, and personal attention.
Is self-service scheduling difficult for older patients to use?
Adoption among older patients is lower initially but grows significantly with the right support. According to MGMA’s patient technology adoption data, 64% of patients over 60 use self-scheduling within six months of launch, and that number rises to 77% when the practice provides a brief tutorial during an in-person visit.
What types of appointments work best for self-service scheduling in healthcare?
Routine, well-defined visit types, such as annual skin checks, follow-up appointments, and established patient visits, are ideal starting points. More complex new patient visits or appointments with detailed clinical screening requirements can also be self-scheduled when the platform is configured with the right workflow logic and guardrails.
How does automated waitlist management handle patient privacy?
HIPAA-compliant waitlist platforms encrypt all patient communications, maintain comprehensive audit trails, and require Business Associate Agreements (BAAs) with covered entities. Notifications are designed to convey appointment availability without disclosing sensitive clinical information in the message itself.
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