Reference · AI voice assistant · 26 Sep 2026
References
AI voice assistant

AI voice assistant:Let it take notes,gain time for patients

Documentation is part of every consultation, but it takes time that is missing in surgery hours. An AI voice assistant is meant to listen, take structured notes and support the reception desk. It is already in use at a medical practice. This page explains what it is meant to do, where its limits are and which rules apply to voice AI in a practice.

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Reference · AI voice assistant

The AI voice assistant is a project for office-based practices that is meant to take structured notes during consultations, prepare patient history forms and take in requests at the reception desk. The results are meant to land directly in the existing practice system, without the practice having to change its software. The assistant is already in use at a practice; Scalableloops supports the project with the AI implementation.

In brief
  • The aim is to relieve doctors and practice teams of documentation, patient history and reception work.
  • The assistant takes notes, the doctor checks and approves them; it does not make medical decisions.
  • Under German law, the treatment record must be kept in close temporal connection with the treatment (Section 630f of the Civil Code).
  • Where the assistant talks directly to patients, the disclosure duty under Article 50 of the EU AI Act has applied since 2 August 2026.
Published 26 Sep 2026Updated 30 Sep 2026Nikolai Schöbel and Jeremias Burger7 min read
Nikolai SchöbelJeremias Burger

Nikolai Schöbel and Jeremias Burger

Co-founders of Scalableloops GmbH. Nikolai Schöbel leads online marketing and AI strategy, Jeremias Burger the AI architecture. Both build AI systems and train teams on them in their own agency work.

On this page
  1. Why does documentation take up so much time in a practice?
  2. What is the AI voice assistant meant to take over?
  3. How does AI help with note-taking without replacing the doctor?
  4. Which rules apply to voice AI in a medical practice?
  5. Where does the project stand today?
  6. What can other practices and businesses learn from it?
  7. Frequently asked questions
  8. How to prepare your practice for voice AI
  9. Where the information on this page comes from
Starting point

Why does documentation take up so much time in a practice?

Every treatment has to be documented. In Germany, Section 630f of the Civil Code requires doctors to keep a treatment record, on paper or electronically, in close temporal connection with the treatment. It must contain all measures and results that are essential for the treatment, explicitly including the patient history, findings, diagnoses, therapies, consents and information given to the patient. The record has to be kept for ten years after treatment ends.

In practice, this means typing during or right after the consultation. At the reception desk, phone calls, appointment questions and taking in requests come on top. In surveys commissioned by the National Association of Statutory Health Insurance Physicians (KBV), around nine in ten office-based doctors said they feel overburdened by bureaucratic and administrative tasks.

The project description of the AI voice assistant targets exactly this: documentation, typing up patient histories and reception phone calls that tie up time which is then missing in surgery hours.

Solution

What is the AI voice assistant meant to take over?

The assistant is designed for office-based doctors, medical care centres and GP practices with many patient contacts. According to the project description, it listens, takes structured notes, takes in requests at the reception desk and delivers patient history forms directly into the practice system. It is not meant to interfere with the existing practice software.

We will publish results from operation once they are reliable. Until then, this page describes what the assistant is built for.

TaskWhat the assistant is meant to doWhat stays with people
Documenting the consultationTake structured notes during the conversationCheck, correct and add to the record
Patient historyPut the information into a structured history formAsk follow-up questions, assess, classify medically
ReceptionTake in and pre-sort requestsDecide who is seen when
Practice systemFile results where the practice already worksApproval and responsibility for the entry
AI at work

How does AI help with note-taking without replacing the doctor?

Voice AI is strongest where a lot is said and the result follows a fixed form. A consultation is such a case: the content changes, the structure of the documentation stays similar. The assistant is meant to understand medical context, so that technical terms end up correctly in the text and the notes do not need laborious rework.

The boundary is clear: the assistant takes notes and prepares, it does not make the medical decision. The doctor remains responsible for what is in the treatment record. That is why every use includes a step in which a person reads and approves the draft before it goes into the record.

The same applies at the reception desk. The assistant takes in requests and pre-sorts them so the team can see more quickly what each one is about. Judging how urgent a request is from a medical point of view stays with the practice team.

Related tasks are covered in our guides Use AI for medical practices and Use AI for meeting minutes. An example of documentation from video calls is the JourF'x reference.

Data protection and law

Which rules apply to voice AI in a medical practice?

An assistant that listens to consultations processes the most sensitive data there is. Four frameworks therefore need to be clarified before it is used.

The project provides the option of running the assistant on a computer inside the practice, so that consultation data does not leave the premises. Which option fits is for each practice to decide with its data protection officer. You can read more about running AI in-house in our article on local AI for business, and about the disclosure duty in our article on AI disclosure under Article 50.

  1. 01

    Health data

    Art. 9 GDPR

    Health data belongs to the special categories of personal data. Processing it is only allowed under the exceptions in Article 9(2), for example for the purposes of healthcare.

  2. 02

    Professional secrecy

    Section 203 German Criminal Code

    Doctors may disclose secrets to people who contribute to their professional work, such as IT service providers, as far as this is necessary. They have to make sure these people are bound to confidentiality.

  3. 03

    Telling patients

    Art. 50 AI Act

    Since 2 August 2026, people must be informed when they interact directly with an AI system, unless this is obvious. This mainly concerns the reception desk.

  4. 04

    Medical device

    EU MDR

    Software can be a medical device if the manufacturer gives it a medical intended purpose. An assistant that only documents and pre-sorts is classified differently from one intended to make diagnoses. This distinction belongs at the start of every project.

Status

Where does the project stand today?

The AI voice assistant is already in use at a medical practice. It does not have its own website yet, and we will only publish figures from operation once they are reliable.

Scalableloops supports the project with the AI implementation. We will update this page when the project takes its next step.

Transferable

What can other practices and businesses learn from it?

Even without this assistant, the project offers principles that apply to any voice AI in a business, whether in a practice, a law firm or customer service.

  1. 01

    Keep existing software

    Integration

    An assistant that writes into the existing system is more likely to be used than one that makes the team learn a new program.

  2. 02

    Plan for approval

    People decide

    Every draft is read and approved by a responsible person before it goes into the record or leaves the business.

  3. 03

    Settle the law first

    Define the purpose

    Confidentiality, data protection, disclosure and the medical device question are settled before the first conversation, not afterwards.

Frequently asked questions

Frequently asked questions

What does an AI voice assistant do in a medical practice?

It is meant to listen during the consultation and take structured notes, prepare patient history forms and take in requests at the reception desk. The doctor checks and approves the results.

Does the AI voice assistant make diagnoses?

No. The assistant documents and prepares. The medical assessment and responsibility for the treatment record stay with the doctor and the practice team.

Do patients need to know that AI is involved?

If patients talk directly to an AI system, for example at the reception desk, Article 50 of the AI Act has required a notice since 2 August 2026, unless it is obvious. Apart from that, it makes sense to tell patients openly how their consultation is documented.

May a practice in Germany use an external provider for voice AI?

Yes. Section 203 of the German Criminal Code permits disclosure to contributing persons as far as necessary. The practice must bind these people to confidentiality. Article 9 GDPR also applies to health data.

Is the AI voice assistant available yet?

It is already in use at a medical practice. Whether it fits your practice is something we clarify in the first meeting.

Next steps

How to prepare your practice for voice AI

  1. 01

    Name the time sinks

    Note where documentation and reception work take up the most time in your practice.

  2. 02

    Settle the legal side

    Clarify processing location, contracts, confidentiality and patient notices with your data protection officer.

  3. 03

    Define approval

    Decide who reads and approves AI drafts before they go into the record.

  4. 04

    Train your team

    Train your team to work with voice AI. If needed, we support you with AI training or your own AI agent system.

Voice AI helps in a practice when it writes down what has to be documented anyway and leaves the decision where it belongs. The AI voice assistant runs under exactly these conditions.

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