Arise Solutions

Unaccepted Treatment Plans in Dental Groups: Why the Revenue Is Already in the System

Dental | May 14, 2026

Most dental groups are carrying a pipeline they have never fully measured. Treatment plans get presented, patients leave without scheduling, and those plans enter a queue that nobody is systematically working. At a single-location practice, a dentist or treatment coordinator can hold this together manually. Across multiple locations, the same approach produces accumulating losses that rarely show up as a line item.

What unaccepted treatment plans actually represent

When a patient declines or defers a treatment plan, that revenue does not disappear. It becomes a pending decision. The patient already has a relationship with the practice, already has a diagnosis, and in many cases already intends to complete the work. The gap between presentation and scheduled appointment is a follow-up problem, not a clinical one.

Why manual follow-up fails at scale

The standard approach to treatment plan follow-up is a coordinator working a recall list — calling patients who haven't scheduled, leaving voicemails, noting outcomes in the practice management system. This works when the list is short and the coordinator has time. Multi-location dental groups break both conditions simultaneously. The aggregate list across locations can reach hundreds of open cases. The recall list becomes a task that gets deferred to whenever there is capacity — which operationally means it runs inconsistently or not at all.

What the production data shows — and when

Most dental groups review production numbers at month-end. By that point, unaccepted treatment plans from early in the period are already two to three weeks old. The window to reach those patients while their need is still active and their memory of the appointment is fresh has closed. The practices that recover the most from their unaccepted plan pipeline are the ones with mid-month visibility. Not a count of open plans, but a prioritized list — which plans are high-value, which patients have responded to outreach before, which cases have insurance coverage that makes scheduling easier. Without that signal, follow-up is equally distributed across a list where most of the recoverable revenue is concentrated in a small fraction of cases.

How AI-assisted follow-up changes the operational picture

Automated follow-up workflows do two things that manual processes cannot sustain at scale. First, they run on the full list without coordinator involvement — every unaccepted plan gets an outreach attempt within a defined window, regardless of front desk volume. Second, they surface responses to coordinators so that human time is spent on patients who have engaged, not on patients who haven't responded. This does not replace the treatment coordinator role. It changes where that role spends its time. A coordinator working a filtered list of patients who have already indicated interest closes cases at a different rate than a coordinator cold-calling a hundred people in whatever order the list was printed. The economics are straightforward. If a dental group has 200 open treatment plans at an average case value of $1,500 and recovers 10% more of them per month through consistent follow-up, that is $30,000 in production that was already in the system.

The organizational precondition

Improving treatment plan recovery at a group level requires one thing that many DSOs do not yet have: a consolidated view of unaccepted plans across locations, updated frequently enough to act on. Groups operating on per-location reporting, with no aggregate dashboard, cannot prioritize follow-up by where the opportunity is largest. They can only respond to what each individual location surfaces — which varies by how diligent each location's team is about maintaining their own data.

Groups that have solved this problem at scale treat unaccepted treatment plans as an inventory item — tracked, aged, assigned for follow-up, and reported on like any other production metric. The shift from reactive case presentation to proactive plan recovery is less a technology decision than an operational one. The systems that support it are tools for executing a process that already needs to exist.