AI for Healthcare
Intelligently automate documentation, scheduling and billing — so there's more time for patients. GDPR-compliant and, on request, fully on-premise.
GDPR-compliant confidential on-premise possible
By the numbers
less time spent on documentation and admin
fewer no-shows through automatic reminders
on-premise / EU hosting possible — data stays in-house
to a noticeable relief effect
Typical values from comparable digitalization projects — depending on starting point and use case.
Sound familiar?
These are the challenges we see in SME practices, MVZ and clinics.
Documentation eats treatment time
Findings, letters, nursing records — a large part of the day goes to admin instead of patients. Time that is missing at the bedside.
No-shows and phone overload
Patients who do not show up cost revenue and capacity. At the same time, scheduling by phone ties up the team all day long.
Billing is complex and error-prone
Coding and fee schedules are intricate. Manual billing ties up staff and causes rejections — every error means rework and delayed revenue.
Sensitive data, high requirements
Patient data is subject to GDPR and medical confidentiality. US cloud solutions are often not an option — you need full data sovereignty.
AI solutions for healthcare
Four building blocks that can be used individually or combined.
Biggest relief
AI-assisted documentation
Turn dictation and notes into structured findings and letters automatically. Frees up the team and gives time back to patients.
- Speech recognition for dictation
- Structured finding & letter templates
- Local (on-premise) models possible
- Integration with your practice/hospital system
Scheduling & no-show reduction
Online booking, automatic SMS/email reminders and smart capacity planning. Fewer no-shows, less phone load.
- Online booking around the clock
- Automatic reminders
- Smart capacity planning
- Waitlist automation
Billing & coding support
AI checks services, suggests coding and flags anomalies before submission. Fewer rejections, faster revenue.
- Coding suggestions
- Plausibility checks before submission
- Anomaly detection
- Fewer rejections
Patient intake & history
Digital intake forms, automatic transfer into the system and pre-structuring. The patient is prepared before entering the room.
- Digital intake forms
- Automatic data transfer
- Multilingual capture
- GDPR-compliant storage
How an AI project in healthcare works
Four phases — from the free initial call to the scaled solution.
Analysis
Free initial call (30 min). We understand your workflows in the practice, MVZ or clinic and identify the biggest time sinks.
Pilot
Implementation of the highest-impact use case in 4–8 weeks. Data-protection pre-check included — with your data protection officer on request.
Integration
Connection to your practice/hospital system. On-premise or EU hosting — patient data stays under your control.
Scaling
Roll out to further sites and processes. Training your team for independent, secure operation.
Typical results
Reference values from comparable digitalization projects — for orientation, not a promise.
less documentation effort through speech and AI support
fewer no-shows through automatic reminders
instead of hours to produce a patient letter
Actual results depend on your starting point, data quality and the chosen use case.
Run the numbers
What could AI save your organization?
Calculate your relief potential in documentation, scheduling and billing in 2 minutes — free and non-binding.
Frequently asked questions about AI in healthcare
Answers to the most important questions.
Is AI in healthcare even possible in a GDPR-compliant way?
Yes. The key is data sovereignty: we rely on on-premise solutions or hosting in European data centers. Patient data does not leave your premises. Every project goes through a data-protection pre-check, and we account for medical confidentiality from the start.
Do we have to put our patient data into a US cloud?
No — that is exactly what we avoid. AI models can run locally (on-premise) or in certified EU data centers. You get modern AI without giving up control over sensitive data.
Can AI connect to our practice or hospital information system?
Usually yes. We integrate with common systems via existing interfaces and standards (e.g. HL7/FHIR). Where no modern API exists, we find pragmatic ways — integration is part of every project.
Does the AI replace medical or nursing decisions?
No. Our solutions support and relieve — they document, remind, prepare and suggest. The clinical decision always remains with the medical staff. AI takes over the routine, not the responsibility.
Is this worthwhile for a smaller practice or MVZ?
Yes. Smaller organizations benefit precisely because every admin hour saved is immediately noticeable. We start with one focused use case (e.g. documentation or reminders) and build from there.
Is there funding for digitalization in healthcare?
Often yes — for example via hospital digitalization programs or general digitalization grants. We support assessment and application. More on our funding page.
More industries
AI solutions tailored to your industry.
Ready to relieve your team?
30-minute initial call — free and non-binding. We analyze your automation potential and show concrete, GDPR-compliant next steps.