For hospitals · practices · medical care centres
AI documents and proposes. You decide.
Coding, billing, documentation — the work that takes qualified staff away from their patients. AI takes on the diligence and puts the proposal in front of you. The decision stays with a human, the data stays in the building.
AuthorMatthias EgerCertified Manager for Applied AI Transformation (IHK)You know the situation
The medicine has been delivered.
The documentation eats the time.
Nobody entered a healthcare profession in order to look up codes and type reports. That is precisely the burden AI removes — controlled, traceable and without the machine ever making the decision.
Coding and billing tie experienced staff to rulebooks instead of patients. Documentation continues long after the shift ends. The shortage of qualified staff makes every hour saved valuable. And the legitimate concern about patient data makes many hesitate over cloud AI — rightly so.
Relief that leaves control with the human.
Evidenced in practice — and built so that every output is checked before it counts.
AI proposes billing codes — the human decides.
The AI reads medical reports and images straight from the clinical system and proposes matching codes. The professional accepts, adjusts or discards. No overlooked services, and no machine making decisions.
DocumentationDictation becomes a structured entry.
Spoken notes become clean, searchable documentation in the correct format — the professional reads it through and approves it, instead of typing it.
Data sovereigntyLocal models — nothing leaves the building.
Where patient data needs protection, the AI runs on your own infrastructure. No third-party provider, no cloud, full control over what the machine is allowed to see.
CompetenceYour team becomes able to work — and legally secure.
The AI Day in house conveys rules and genuine skill and satisfies the training obligation under Article 4 of the EU AI Act. Documented as evidence.
The machine proposes. The human decides.
The AI reads where the data already sits and returns a proposal. Only the approval of a qualified professional turns it into a valid entry.
Small, clearly defined, verifiable.
No large project on a hunch. We begin with one narrowly defined use case, measure the benefit and then decide together on the next step.
Pilot at a fixed price: one defined case, a clear scope, no open budget. Data protection first: local models where necessary, everything documented. Liability with a policy: the work carries professional indemnity insurance through EXALI — not merely as a figure of speech. No lock-in: you keep the access credentials and the control.
Frequently asked questions
What those responsible clarify first.
Does the AI decide on diagnoses or billing?
No. The AI reads, sorts and proposes — the decision is made without exception by a qualified professional. Responsibility stays where it belongs.
Does sensitive patient data leave the building?
Only if you want it to. Where data has to stay in-house, local models run on your own infrastructure — no cloud, no third-party provider.
How does this fit into our existing systems?
Through defined interfaces to your hospital or practice information system. The AI reads where the data already sits — without parallel systems.
From this industry, among others: Physiotherapie Grüssner · Physiotherapie Hör · Osteopathie Brunner · Osteopathiepraxis Hoch · Praxis Sabine Schwarz-Heid · Ambulante Krankenpflege St. Georg
Tell me where the time is lost in your organisation.
30 minutes · free · confidential · three starting points in writing