Yes. AI documentation works because it solves one well-defined task: it turns the spoken consultation into a structured note draft in a recognisable form. The clinician reads the draft through, corrects it and approves it before it is entered into the record. Used this way, the tool moves writing time from keyboard to patient - without moving the responsibility for the record.
How does AI documentation work in practice?
The tool listens in during the consultation and structures what is said into a draft. The clinician does not write from scratch but edits a proposal. The draft gathers the content into fields the clinician knows - subjective, objective, assessment, plan. The structure is in place before the read-through begins.
It is not an oracle. It refers the consultation, it does not interpret it. Diagnosis, assessment and plan are the clinician's. The tool suggests a wording. The clinician decides whether it is correct, and whether anything is missing.
The tool only writes what is said aloud. What is decided by a glance at the patient, by palpation or from the record's history does not belong in a speech-based draft and is added manually. That is normal - not a flaw in the method.
The process is the same every time: talk with the patient, get a draft, read it through, correct and approve. The first three steps are automated. The fourth - the approval - stays with the clinician. The transcription behind the draft itself is deleted after up to 90 days.
What happens if the AI mishears?
AI can mishear, conflate details or omit something that was said. It happens. That is why the draft is never the finished note. It is a proposal that is checked before it is entered into the record.
Some errors carry more weight than others. Always check what changes the treatment: medication names and doses, measured values and laboratory results, allergies, side marking (right/left) and agreed follow-ups. Here a speech recognition error can have clinical significance. Here the read-through matters most.
The criticism of AI in documentation often concerns exactly that: that a machine cannot vouch for a clinical note. That is true. A language model draft can sound confident and still be wrong. That is why the clinician approves every note. Errors are caught because a person with the expertise reads along - not in spite of it.
Does every note have to be read through and approved?
Yes. Every note is read through and approved by the clinician before it is entered into the record. It is not an optional extra check. It is the core of why the method is sound. A person is always in the loop (human-in-the-loop).
The documentation duty rests with the authorised clinician. A note must be accurate, complete and reflect what happened in the consultation. The requirement is the same whether the draft is written by hand, dictated or generated with AI. The tool changes neither the duty nor who is accountable for the content.
The framework is set by Styrelsen for Patientsikkerhed, which supervises documentation. The data processing is covered by GDPR and the supervision of Datatilsynet. Health data is processed under articles 6 and 9 of the General Data Protection Regulation, and the provider acts as data processor under article 28.
When does AI documentation work best and worst?
It works best with consultations that have a clear structure and a calm audio environment - an annual check-up, a follow-up, a well-defined issue where one topic is talked through at a time. Here the draft often hits the mark, and the read-through goes quickly.
It works worst when several people talk over each other, with heavy background noise, with strong dialects or technical terms in several languages, or when much is decided without words - a clinical glance, a palpation, an examination that is not spoken aloud. Here there is more to correct, and the read-through takes longer.
That is why the value is measured by the total time - writing plus correcting - not by whether the draft is perfect on the first attempt. Even a draft that needs correcting is faster than a blank note. The professional threshold is the same: the note is approved only when the clinician can vouch for it.
Want to know whether it fits your clinic's systems, see integrations. Unsure about the rules, see whether AI documentation is legal.
This guide is general information about how AI documentation works - not legal or clinical advice. Responsibility for the record always rests with the authorised clinician. The relevant authorities are Datatilsynet and Styrelsen for Patientsikkerhed.