Close the gap between your waitlists and your open slots.
Waitly is the autonomous patient-sourcing engine for teaching hospitals and university-affiliated networks — working every subspecialty waitlist, cancellation, and referral continuously, and routing the highest-acuity, highest-value patient to every opening. No mass outreach. No added access-center headcount.
Your patients aren’t missing. They’re scattered across departments.
A teaching hospital doesn’t have one waitlist — it has dozens, split across subspecialty clinics, resident and attending panels, and referral queues that rarely talk to each other. Waitly continuously mines every one of them, matching clinical urgency and case value to the next open slot, department by department.
Subspecialty Waitlists
Patients waiting months for a subspecialty slot sit on static EHR waitlists that staff rarely have bandwidth to work, department by department.
Waitly treats every departmental waitlist as a live sourcing pool, offering openings to the waiting patient who matches on clinical priority, subspecialty, and provider — not just first-come, first-served.
Cancellations
A late cancellation in a subspecialty clinic is nearly impossible to backfill on short notice — the access center is already stretched across dozens of departments.
The moment a slot opens, Waitly identifies the best-matched waiting patient and locks in the rebooking automatically, before the opening is ever reported as unfilled.
Referral Leakage
Internal referrals between departments and external referrals from community physicians routinely stall — the patient never calls to schedule and the referral ages out.
Waitly reaches out the moment a referral lands in the system, while urgency and physician trust are highest, and gets the patient scheduled with the right subspecialist before the referral leaks to another network.
Reschedules
A resident or attending schedule change can displace dozens of patients at once, and reconciling that manually across a clinic template takes staff hours.
Waitly manages the reschedule in-thread, offering each displaced patient alternative slots that match their preferences and the covering provider’s availability.
Care Gaps & Unscheduled Pending Care
Recommended follow-ups, surveillance imaging, and recall visits pile up in the chart as pending orders that never convert to a booked visit.
Waitly identifies patients with open orders or overdue recalls, scores them for outreach priority, and books them into the exact clinic and provider the order specifies.
Built for both high-volume ambulatory clinics and high-acuity subspecialty departments.
A teaching hospital runs two very different scheduling problems at once: dense primary and ambulatory volume, and long-wait subspecialty care where clinical fit matters more than filling the slot with whoever’s next. Waitly’s routing logic adapts to each.
For High-Volume Primary & Ambulatory Care
Waitly keeps primary care and ambulatory clinic columns dense across every site, working cancellations and recalls continuously so resident and attending templates stay full without manual double-booking.
For High-Acuity Subspecialty Departments
Waitly prioritizes clinical urgency and case complexity over first-come, first-served — when a subspecialist’s block opens, it identifies which waitlisted or referred patient needs that window most and offers it to them first.
See the revenue hiding in your schedule.
Input your clinic’s baseline metrics to see exactly how much revenue Waitly can autonomously recover each month.
Share of cancellations Waitly recovers — typically ~13% in 60-day pilots.
Baseline estimate. Waitly also reduces future cancellation rates by optimizing patient-to-provider matching and pre-confirming appointments.
“Our waitlists were always full and our schedule was always half-empty — the two never talked to each other. Now the system closes that gap on its own, across every department, without our access center lifting a finger.”
See how much capacity Waitly can recover across your network.
A 20-minute walkthrough with your numbers — no rollout commitment.