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Clinics and health

AI automation for clinics

Recepción de una clínica moderna con la agenda de citas en pantalla

A clinic loses money in three silent ways: slots nobody filled, calls nobody answered and hours of qualified staff spent on tasks that do not need their judgement. All three can be reduced substantially, and none requires changing the practice management software you already use.

Why a clinic is not just any company

Almost everything done in a clinic involves personal data, and much of it falls into special categories: health data sits in Article 9 GDPR, where processing is prohibited except in specified cases.

This does not prevent automation. What it does is change the order: in a clinic, the decision about where the information is processed weighs as much as what the automation does. An appointment reminder mentioning the speciality is already health data travelling through a channel someone else may read.

1. Appointments and reminders

It is the process with the highest return and the simplest, which is why we recommend starting there.

What gets built. Online booking connected to the real calendar, automatic confirmation, a reminder at the right moment and ( this is the important part ) the option to reschedule in one click.

Why it works. The return is measured in euros without effort: every slot filled because the patient gave notice in time is a billed appointment that would otherwise have been lost.

A nuance almost nobody considers: making rescheduling easy pays off more than pushing harder on reminders. The problem is usually not that the patient forgets, but that changing the appointment means calling during opening hours and waiting. If they can move it from their phone at eleven at night, they move it instead of not turning up.

Where it goes wrong. In the message content. “You have an appointment tomorrow at 10:00 at [centre]” is enough. Adding the speciality or the reason turns a harmless text into health data outside your control.

2. Repeat enquiries

Opening hours, location, what to bring, how to book, whether you work with a particular insurer, how long a first visit lasts. The same fifteen questions every day, none requiring clinical judgement, all interrupting someone.

What gets built. An assistant trained on your real information that answers instantly via WhatsApp, web or phone. And that knows when a question is beyond it.

The line that is not crossed. Nothing resembling clinical advice. When an enquiry approaches a symptom, the right response is to hand it to a person with the full conversation, not to try to help.

There is a benefit often overlooked: a good share of enquiries arrive outside opening hours, when the patient has a moment. Replying at nine the next morning is already too late for many people, who have called another centre in the meantime.

3. Paperwork and consent forms

Informed consent forms, discharge reports, certificates, quotes. Documents that follow a template and are filled with data already in the system.

What gets built. Generated from the template with the data already inserted, ready to review and sign. And, if the document is leaving the centre, a check that it carries no information that should not go out.

It is the same principle we applied in the anonymisation project for Santa Coloma City Council, where reviewing a document by hand took 20 minutes and dropped to 2-3 seconds.

4. Follow-up

Check-in messages after a procedure, satisfaction surveys, annual review reminders. Low value per unit but high volume, greatly improving how patients perceive you, and in practice almost never done for lack of time.

What is best not automated in a clinic

  • Anything resembling a diagnosis. Not even with a disclaimer.
  • Communicating worrying results. That is said over the phone, with a person on the other end.
  • Unsupervised clinical triage. Prioritising the schedule on administrative criteria, yes; deciding the urgency of a condition, no.
  • Sending health data through channels you do not control. A text can be read by anyone who picks up the phone.

Where to start

With appointments and reminders. Clear return, low risk, and it lets the team get used to working with automations before moving into delicate ground.

Starting with the clinical report is starting with the hardest part: if it turns out mediocre, it burns confidence in everything else.

To put figures on your specific case you have the savings calculator. And if you would rather we looked at it together, the free diagnosis is 45 minutes going through your processes: you leave with a prioritised list and with what can be touched and what cannot.

If you want the full picture of this sector and the legal one, here is the AI guide for clinics and law firms.

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