Dental clinic

Bookings, reminders and reviews in one flow, so chairs stay full and patients come back.

Reference image for a dental clinic appointment and patient communication flow

Situation and baseline

A multi-chair clinic manages appointments across phone, a booking tool and staff calendars. Routine changes require calls, reminders are inconsistent, and reception reconciles duplicate or missed follow-ups.

The challenge

Improve access and attendance without making clinical decisions, exposing health data unnecessarily or trapping patients in automation.

Approach and timeline

  1. Diagnose

    Map enquiry, booking, reminder, cancellation and recall; identify access needs, urgent routes and minimum necessary data.

  2. Design

    Present appointment types and availability clearly, then test booking and change flows with patients and reception staff.

  3. Integrate

    Configure consented confirmations and reminders with secure links, contact alternatives and controlled retry rules.

  4. Learn and refine

    Compare equivalent appointment types and periods, feedback and workload before changing reminder cadence.

Agents, automations and stack

Scheduling automation handles availability and approved reminders. An assistant answers administrative questions from clinic-approved information and routes symptoms, treatment and urgent needs to staff. Clinical records stay outside marketing and general-purpose agent systems.

Deliverables

  • Patient journey and data-flow map
  • Accessible booking, reminder rules and escalation review

Outcome indicators

  • Late cancellation rate

    Baseline: 18% Target: 6%

  • Self-service booking share

    Baseline: — Target: 58%

  • Patient feedback score

    Baseline: 3.9 Target: 4.7

  • Manual follow-up actions

    Baseline: 140 Target: 60

How we measure

Late cancellations use a published definition and fixed denominator. Self-service counts bookings or changes completed without staff handling. Feedback reports response volume and method. Manual follow-ups are sampled per appointment, not inferred from message counts.

Risks and guardrails

Minimize health and personal data, verify lawful basis and vendors, avoid clinical advice, provide a visible human route and keep sensitive treatment details out of reminders on shared devices.

What comes next

Audit outcomes by appointment type and access needs, then test recall workflows without increasing unwanted contact or staff burden.

Related scenarios

Facing a comparable operating challenge?

We can map the workflow, establish a baseline and decide together whether automation is appropriate.

Discuss a workflow

Case studies info@mia17.com