Patient Recall & Reactivation

A proactive recall assistant that reaches lapsed and overdue patients with personalised, friendly nudges to rebook their hygiene visit, recovering revenue that quietly walks out the door.

Retention & recall

The pain point

Most practices retain only a little over half of their recall patients. For every 10 due for a clean, 3 to 4 simply never come back, and chasing them by hand never happens.

55 to 65%

of eligible recall patients retained on average; the rest lapse

15 to 35%

of inactive patients re-engaged by a well-run multi-touch campaign

How the chatbot solves it

Watches the PMS for patients due or overdue, then runs a warm, personalised multi-touch sequence over SMS and chat. Patients can book, snooze or opt out in one tap, and the further overdue they are, the gentler and more incentive-aware the message.

Detects

Flags patients due or 6, 12, 18 months overdue from the PMS.

Personalises

Uses name, last visit and usual practitioner for a human tone.

Re-books

One-tap path straight into live availability.

Respects

Easy snooze and opt-out keep it friendly, not spammy.

UX interaction diagram

End-to-end flow from PMS detection through outreach to a reactivated booking or graceful exit.

flowchart TD A([PMS flags patient overdue]) --> B{How overdue?} B -->|1 to 6 months| C[Warm reminder: time for your clean] B -->|6 to 12 months| D[Personalised note + gentle nudge] B -->|12+ months| E[We miss you + re-welcome message] C --> F{Response} D --> F E --> F F -->|Book now| G[Show live slots + confirm] F -->|Not now| H[Snooze - re-touch in set window] F -->|Opt out| I([Suppress + log preference]) G --> J([Reactivated - booked]) H --> A classDef e fill:#f8ebe4,stroke:#b34a39,color:#2e2a26; classDef s fill:#f5e6da,stroke:#c2613d,color:#2e2a26; class I e; class G,J s;

Sample conversation flow

Lapsed patient 7 months overdue, reactivated via SMS recall.

FB

FriendlyBot

Online now

Patient 7 months overdue for hygiene recall

Hi James! It's been about 7 months since your last check-up & clean with us. Your gums will thank you for a top-up! Want to book in?
Yes, book me in Remind me later No thanks
Yes, book me in
Great to have you back! Here are some times with Dr Lee, who you saw last time:
Mon 10:00 am Wed 5:30 pm Sat 9:15 am
Sat 9:15 am
Booked! Saturday 9:15 am for a check-up & clean. I'll send a reminder the day before. Lovely to see you again, James.

Lapsed patient reactivated + enrolled in reminders

Yes, book me in Remind me later No thanks

Design interactions that ease the pain

Tone scales with lapse

Gentler, warmer messaging the longer someone has been away.

Personal detail

Name, last visit, practitioner signals a real relationship, not a blast.

One-tap booking

Removes every step between intent and a confirmed slot.

Snooze, not nag

Declining politely re-queues for a sensible later touch.

Clean opt-out

Protects goodwill and meets spam expectations.

Feeds the booking + reminder flows

From use cases 1 and 2.

Success metrics

Reactivation rate

Recall retention

Revenue recovered

Opt-out rate

Sources