AI app for healthcare · no coding needed
Recall List Recovery
The suppression list and human-first opt-out are built into every message, so the AI never contacts a bereaved family or a patient who has moved clinic.
Made for: Practice managers at private dental and physiotherapy clinics
What it does for you
The problem
Overdue patient recall lists are long, full of dead numbers, and rarely get fully worked through, so clinics miss care and revenue.
What it gives you
Booked appointments, daily staff summary, flagged conversation log
What you give it
Overdue recall listpatient contact preferenceslive appointment calendarsuppression list
How it works, step by step
- Pull overdue patients nightly from the practice management system
- Check contact history and suppression list before any outreach
- Choose channel by preference and bounce history
- Send personalised SMS, email or AI voice call with live slot offers
- Handle replies conversationally and propose two real slots
- Generate a daily summary for staff sign-off
What you see on screen
- Recall dashboard
- patient outreach queue
- booking confirmation log
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Recall List Recovery with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Recall List Recovery with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links1 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare22 KB
- prompt-vps.mdThe same build on your own server (Docker)22 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data198 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
For practice managers at private dental and physiotherapy clinics, turn the overdue recall list from the practice management system into booked appointments and a clean daily exception queue. Address the recurring problem: recall lists are skimmed, not worked, so patients drift away and unbilled appointments pile up. The value hypothesis is a measurable increase in recall conversion with minimal staff effort; the pilot must establish whether that benefit is real.
Pull overdue list, filter suppression list, select channel, send personalised message, handle replies with AI, propose and book slots, and review daily summary. Start with overdue recall list and contact preferences and finish with booked appointments and a clean exception queue.
How the AI works
Use language models to draft plain-language messages and run a conversational voice or text agent that answers simple questions and proposes slots. A deterministic scheduler checks recall dates and suppression flags. A human receptionist reviews every booking and any flagged reply before it is committed.
Safeguards
Strict suppression list enforced before any contact, opt-out on every message, human review of all bookings and flagged replies, role-based permissions, and a rule that the AI must never contact a patient on a suppression list or make a booking without staff approval in the pilot phase.
What to build first
One dental clinic, one appointment type such as six-month check, SMS and email only, fixed slot set, and manual review of every booking before commit.
What it can connect to
Practice management systems such as Dentrix or Exact, SMS and email providers, and the clinic's live appointment calendar.
The screens in detail
Use a dashboard showing overdue counts by type and channel, a queue of patients with contact preference and suppression flags, and a log of AI conversations and bookings. Let staff filter by appointment type and date. Display outreach status: sent, replied, booked, declined, flagged. Provide a single-click approval for AI-proposed bookings. In this product, the first view is recall dashboard, followed by patient outreach queue and booking confirmation log.
