Artificial intelligence for clinics, health centres and healthcare software
In healthcare, AI adds the most value in administrative workload: appointment management, reminders, patient support, documentation and operational data analysis. It does not replace the healthcare professional or give medical advice: it is designed with reinforced privacy, clear limits on scope and handover to a person.
By Oliver Guirado · Updated on October 28, 2026 · 5 min read
What AI can and should not do in healthcare
Healthcare centres lose a lot of time on calls, appointment changes, test preparation, invoices and paperwork. That is where AI reduces workload with a manageable risk. By contrast, diagnosis and clinical decisions are the professional's responsibility and, when software supports them, it may count as a medical device and be subject to specific regulation.
Our approach: automate the administrative work, assist the professional with documentation and search, and always leave the clinical decision in human hands. We already work in this field: health apps, healthcare software, web design for doctors and dentists.
AI use cases in clinics and healthcare
Appointments and reminders
Diary management, changes and reminders with preparation instructions, by channel.
Appointment and administrative assistant for a multi-specialty clinic
Problem
Reception handled calls and messages of every kind with busy lines, and part of the patients did not receive preparation instructions or missed their appointment.
Solution
An assistant that manages appointments on the real diary, sends reminders and prior instructions, and answers administrative questions. When faced with symptoms or clinical doubts it says so and hands over to a person.
Steps
Map of contact reasons and diary rules by specialty.
Integration with the clinic management software.
Definition of excluded topics and handover protocol.
Privacy and consent review.
Pilot in one specialty and then roll-out.
Target outcome
Fewer admin calls and fewer missed appointments, with reception free for in-person care.
Technology
Clinic management software through API, WhatsApp Business, RAG over administrative protocols.
Sample project · Specialist centre
Draft reports for professional review
Problem
Specialists spent part of the consultation writing repetitive reports from notes and results.
Solution
A tool that generates a draft report using the centre template from the structured visit data; the professional reviews, corrects and signs.
Steps
Analysis of templates and usual reports.
Draft design with controlled fields.
Tests with professionals and tuning.
Roll-out in the patient record with change logging.
Target outcome
Less writing time and greater consistency, with clinical responsibility untouched.
Technology
Integration with the patient record, language model with data in a controlled environment, audit log.
The projects on this page are illustrative, anonymised examples of how we approach this kind of work. Every real project is defined with your information, your systems and your goals.
Data, integrations and compliance
Health data: a special category under GDPR. It requires a reinforced legal basis, minimisation, encryption, access control and, normally, an impact assessment.
Hosting: data in the EU or on your own infrastructure; data processing agreements with each provider.
Medical devices: if the software supports diagnosis or clinical decisions, it may be regulated. This is assessed from the design stage.
EU AI Act: some healthcare uses are considered high risk and require human oversight and documentation.
More on regulation in AI, GDPR and the AI Act. This page is informational and does not replace legal or medical advice.
Where to start
Start with the administrative side, which has lower risk and a fast return.
Agree with the data protection officer which data is used and where it is hosted.
Pilot in one specialty with metrics for missed appointments and reception time.
Extend to assisted documentation under the professional's supervision.
Reference prices for AI in clinics and healthcare
What is usually implemented first
Indicative investment
Typical timeline
Appointment and administrative assistant
€12,000 – €40,000
2 – 4 months
Draft reports integrated in the patient record
€15,000 – €50,000
2 – 5 months
Impact assessment and privacy design
€3,000 – €10,000
2 – 4 weeks
Indicative reference prices in euros, excluding VAT, for projects in Spain and Europe in 2026. The final amount depends on scope, integrations and data quality; we confirm it with a fixed quote after a first meeting.
It should not replace the professional. Systems that support clinical decisions may be considered medical devices and are regulated. Our approach focuses on administrative and documentation tasks under the professional's supervision.
Can patient data be used with AI?
Yes, in compliance with GDPR: legal basis, minimisation, encryption, access control, suitable hosting, contracts with providers and, normally, an impact assessment.
How much does an appointment assistant for a clinic cost?
Between €12,000 and €40,000 depending on specialties, channels and integrations. These are reference prices excluding VAT.
Does it integrate with my clinic management software?
Yes, as long as it has an API or another way to integrate. We check it before quoting.
What happens if the patient describes symptoms?
The assistant does not give medical advice: it says so clearly, offers the relevant contact or emergency route and hands over to a person.
Shall we talk about your project?
Tell us about your case and we will reply within 24-48 hours with a proposed scope and an indicative quote.
