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Typical forPrivate clinicsPhysiotherapistsDentistsPsychologists and therapists

AI in your clinic. Patients' data stays in the EU.

Health data is the most sensitive data there is. GoalCube lets you use AI for letters, bookings and summaries, while names, ID numbers and addresses stay with you – and there's a record of exactly what the AI used.

Join the waitlistWhat can you use AI for?
  • The name kept apart from the health dataThe AI sees [PERSON_1] and the symptom – never who the patient is.
  • Less time on paperworkDraft letters, summaries and booking replies in seconds.
  • The clinician decidesThe AI never diagnoses or prioritises patients on its own.
GoalCube Data VaultFictitious data
Messages to the clinic, week 41 · 3 rows
Show
Your dataStays in the EU with GoalCube
PatientID no.Treatment
Martin Kiely5512983PPhysiotherapy
Anne Whelan3302714CPhysiotherapy
Ibrahim Saeed0587342MDental care

Message from the patient Can I move my appointment from Tuesday? I'm at work. Martin Kiely

What the AI seesIn ChatGPT, Claude or Copilot
PatientID no.Treatment
[PERSON_1][ID_1]Physiotherapy
[PERSON_2][ID_2]Physiotherapy
[PERSON_3][ID_3]Dental care

Message from the patient Can I move my appointment from Tuesday? I'm at work. [PERSON_1]

Task for the AI: Sort the messages, and draft replies. Flag the ones a clinician needs to see today.
The answer in GoalCubeNames filled back in, only on your side

Anne Whelan describes worsening pain and should get a call from a clinician today. Martin Kiely wants a new appointment; offer Thursday at 10 am. Ibrahim Saeed has a question about the bill; pass it to the office.

The AI’s answerPseudonyms only

[PERSON_2] describes worsening pain and should get a call from a clinician today. [PERSON_1] wants a new appointment; offer Thursday at 10 am. [PERSON_3] has a question about the bill; pass it to the office.

9 sensitive values hidden from the AINo real names left the EU

Fictitious data. Point at a name or a pseudonym to see what belongs together.

What can you use AI for?

Choose a task. GoalCube works out the risk under the EU AI Act with fixed rules and tells you what to do.

GoalCube AI MapFictitious data
What will the AI be used for?
Sensitive data

Even a booking reveals that someone is a patient. GoalCube hides the name and ID number; a person confirms the use.

Sensitive data

Health data (Article 9 GDPR) and professional secrecy. Only with pseudonyms, a business plan and a clinician who checks.

High risk

AI that prioritises access to healthcare may be high-risk or a medical device. A clinician must always decide.

High risk

AI for diagnosis is typically a medical device with its own rules (MDR). Don't use an ordinary chatbot for it.

The example is simplified. In GoalCube you answer a few questions, and the classification follows fixed rules.

What the law says

Health is special category data

Health data may only be processed on a specific basis, such as treatment under professional secrecy.

Article 9(2)(h) GDPR

Professional secrecy applies to AI providers too

Health professionals must not pass on health data without a legal basis. Only use AI with a data processing agreement (DPA) – and ideally without names.

Article 9(3) GDPR; national rules on professional secrecy

Medical AI has its own rules

AI that makes diagnoses or recommends treatment is typically a medical device and high-risk under Annex I of the AI Act.

MDR (EU) 2017/745; Article 6(1) AI Act

An impact assessment is usually required

Processing health data at scale with new technology normally needs a data protection impact assessment (DPIA).

Article 35 GDPR

Short and simplified. GoalCube helps you follow the rules; it is not legal advice.

Your staff keep working. GoalCube keeps track of the rest.

Low risk is approved automatically under fixed rules. Anything that needs a human lands on This week’s list – typically around 5 minutes a week.

The employee
Your AI

Sort this week's messages, and draft replies to the ones about appointments.

All goodLow risk. Approved automatically under your rules.

I've drafted 17 replies. One patient describes worsening pain – a clinician needs to see that today. Names and ID numbers are only at GoalCube.

The person in charge
This week’s listFictitious data

4 awaiting a human · approx. 5 minutes

Waiting for you

  • Confirm new use: summarising clinical notesSensitive data · needs a person
  • Complete impact assessment (DPIA)Health data · template ready

Approved automatically

  • Summary of customer enquiriesLow risk · approved automatically on Monday
  • Overview of supplier contractsLow risk · approved automatically on Tuesday

What you need

Start free with the overview. Add protection when you want to use AI on real data.

AI Map

Map

0 € per month

  • AI inventory and AI policy
  • Training with proof
  • Deadlines, templates and report
Recommended for you

Data Vault

Map and protect

from 9 € per month

  • Everything in AI Map
  • AI on your data, data stays in the EU
  • Secret terms and documents

Data Vault + Human Decision

GoalCube for HR

from 15 € per month

  • Everything in Data Vault
  • A person decides on cases about people
  • Passkey, log and timestamps

See all prices All prices are per month and exclude VAT. Pay yearly and get 2 months free. Prices apply from launch, which we expect in November 2026.

Questions and answers

Can we use ChatGPT in a clinic?

Not with names and health data in plain text on a standard plan. Use a business plan with a data processing agreement (DPA), remove names and ID numbers, and carry out a DPIA. GoalCube makes sure the AI only sees codes.

Does using AI breach professional secrecy?

It can, if health data is passed to a provider without a legal basis. With pseudonymisation in the EU, the AI provider never learns who the patient is – but talk to your professional body about your specific use.

Can the AI help with diagnoses?

Not an ordinary chatbot. AI for diagnosis is typically a medical device with its own requirements. GoalCube is for admin and writing, not for diagnoses.

Read more

Other solutions for customers

Ready to use AI on patient data?

We expect to launch in November 2026. Join the waitlist and we’ll let you know when you can get started.