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Truro Integration (with Denticon Patient Insights)

Gerald Bergan
Updated

Overview

Denticon Patient Insights (DPI) brings Truro Analytics' predictive AI directly into the Denticon workflow — surfacing patient risk scores and actionable intelligence across the patient chart, schedule, charting, and toolbar views. For the first time, practices can see which patients are most likely to no-show or late-cancel before it happens, then take action early enough to protect their schedule.

This is a native integration — DPI is built directly into Denticon, not a separate tool or external dashboard.

 

About Truro Analytics

Truro Analytics is an AI-powered dental business operations platform that partners with dental practices and DSOs to maximize schedule capacity, revenue, and profitability. Their models use predictive analytics, generative AI, and machine learning to surface insights that help practices make better decisions — before problems occur, not after.

"Truro's insights have fundamentally changed how our team thinks about the schedule. We're no longer reacting to no-shows — we're preventing them."

— Sr. Director of Patient Experience & Emerging Technology, PDG (March 2026)

The problem it solves

No-shows and late cancellations are among the most costly, recurring problems in dental practice operations. A missed appointment means lost production, wasted chair time, and staff hours spent scrambling to fill the gap — with no guarantee of recovery.

The core issue isn't that practices don't know no-shows are a problem. It's that they have no way to know which patients are likely to miss their appointment until after it happens. Without that signal, outreach is generic, reactive, and inefficient.

How it works

Truro Analytics' models analyze patient behavior patterns — appointment history, cancellation trends, communication responsiveness, and other signals — to generate a risk score for each patient. That score is surfaced natively inside Denticon wherever staff are already working, so no context-switching is required.

1 Truro models analyze patient data continuously. Appointment history, cancellation patterns, and other behavioral signals are processed by Truro's machine learning models to generate up-to-date risk scores for each patient.
2 Risk scores surface natively inside Denticon. Scores and insight prompts appear in the patient chart, schedule, charting, and toolbar views — wherever staff are already working.
3 Staff identify high-risk appointments early. Before the day of the appointment, front desk and scheduling teams can see which patients warrant proactive outreach.
4 Targeted outreach protects the schedule. Staff can prioritize reminders, confirmations, or waitlist fills for high-risk slots — reducing the likelihood of a no-show and keeping production on track.

What this means for your practice

Revenue protection
Catching high-risk appointments before they become no-shows directly reduces lost production — the most immediate financial impact of schedule gaps.

Focused staff effort
Instead of calling every patient on a confirmation list, staff can prioritize outreach to the patients who actually need it — making the same time go further.

Better patient experience
Timely, personalized outreach feels attentive rather than generic — strengthening the patient relationship rather than adding to inbox noise.

 

 

 

 

Article Version 1.1 2026.06.03

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