Industry
AI for Healthcare and Clinics
We bring AI to clinics and healthcare providers: assisted triage, GDPR-compliant clinical document management, patient assistants and medical imaging analysis.
Evicron, an AI and software studio based in Barcelona and founded in 2019, brings artificial intelligence to healthcare with one non-negotiable priority: patient privacy. We have delivered over 200 projects across 12 industries — including a certified clinical document management platform for a private clinic — and we design every solution to be GDPR-compliant from day one, with data hosted in the EU and models that can run on-premise.
The challenge: innovating without exposing patient data
Medical records, imaging tests, informed consent forms: health data is special category data under GDPR, and many clinics put AI adoption on hold out of a justified fear of losing control over it. Meanwhile, clinical and administrative staff spend hours on repeatable work — chasing appointments, filing reports, transcribing notes — that a well-designed AI can absorb without ever touching diagnosis, which always stays with the professional.
The answer is not to give up on AI. It is to choose the right architecture.
AI applications in healthcare
- AI-assisted triage: classifies incoming enquiries by urgency and specialty before they reach your team, so the critical cases surface first.
- Clinical document management: digitisation, classification and intelligent search across records, reports and consent forms, with full traceability and GDPR compliance. This is precisely the kind of platform we built for a private clinic.
- Virtual assistants for patients: appointment reminders, answers to frequent questions and test preparation instructions. With elop, our AI voice-agent platform, an assistant answers calls 24/7, books appointments and hands over to a human when needed.
- Medical imaging analysis: vision models as a supporting second read for clinicians, integrated into the existing workflow.
- Digitising paper records: the same AI-powered OCR we built for Hipteca extracts around 30 fields from a photo of a handwritten form; applied to clinical paperwork, it removes hours of manual transcription.
Privacy first: GDPR and data in the EU
We deploy on European infrastructure (EU regions of AWS and Google Cloud) and, where the case demands it, we use open-source models such as Llama or Mistral running on-premise, so no health data ever leaves your environment. We apply data minimisation, access control and audit logging, and we define the information flow together with your data protection officer before building anything.
How we work
Our process has 4 phases — discovery, design, development, and launch and support — with weekly sprints and a first clickable demo in week 2. An AI MVP is ready in 4–8 weeks, with projects starting at €6,000 and a fixed quote after a free initial consultation. If you are not sure where to start, our AI consultancy identifies the use cases with the best return for your organisation.
Why Evicron
We are a small senior team working remotely with clients across Europe, with replies in under 24 hours. The code is yours: full Git repository, no vendor lock-in. And we do not work from theory — we have been shipping applied AI to production for years, including in settings where privacy is non-negotiable.
Want to know what your clinic could automate without compromising GDPR? Tell us about it and we will reply within 24 hours. The first consultation is free.
Frequently asked questions
Is AI compatible with GDPR in a clinic? +
Yes, provided the architecture is designed for it from day one. At Evicron we deploy on European infrastructure (EU regions of AWS and Google Cloud) and use open-source models such as Llama or Mistral that can run on-premise, so patient data never reaches third parties. We built a certified clinical document management platform for a private clinic following exactly this approach.
What can a clinic automate with AI? +
The highest-return use cases are initial triage of incoming enquiries, appointment reminders and scheduling, classification and search of clinical documentation, and support for medical imaging analysis. At Evicron we prioritise one or two high-impact use cases and deliver a working MVP in 4–8 weeks, with applied AI projects starting at €6,000.
Does patient data leave the EU? +
It can be designed so it never does, and that is what we recommend. Evicron deploys on European infrastructure and, where the case requires it, runs models on the clinic's own servers so no health data leaves your environment. We map the data flow together with your data protection officer before writing a single line of code.
How much does an AI project for a clinic cost? +
Applied AI projects at Evicron start at €6,000, with a fixed quote after a free initial consultation. We work in weekly sprints with a first clickable demo in week 2, and the code always belongs to the client: full Git repository, no vendor lock-in.
Do you have real experience in healthcare? +
Yes. At Evicron we developed a certified clinical document management platform for a private clinic, and since 2019 we have delivered over 200 projects across 12 industries. Our voice-agent platform elop also answers calls and books appointments 24/7, a capability that maps directly onto patient care.