How to use AI safely with healthcare data

Using AI with healthcare data takes the same discipline as any other system that handles sensitive information. Calling a tool secure or compliant does not replace an assessment of your specific purpose, legal basis and processors.

Questions to ask before choosing a tool

Find out what data the system needs, where it is processed, who can access it, how long it is retained and whether it is used for any other purpose. Review the contract terms, subprocessors, audit options and the incident procedure.

• Limit the data to what your purpose strictly requires.
• Set access by role and log relevant activity.
• Find out whether inputs or outputs are stored or used for training.
• Involve your data protection officer and get a legal assessment.

AI does not replace professional or legal judgment

This article is a general checklist, not legal advice. Specific obligations depend on the purpose, the categories of data, the roles of the organizations involved and the technical solution.

What to check in the data flow

Map the path from the source system to the user's screen. At each step, determine which data is transferred, where it is temporarily stored, who processes it and how it is deleted. Also check that diagnostic logs, backups and error dumps do not contain the content of questions or sensitive values. A security claim about the main database may not cover the whole flow.

Ask the vendor about its access model, separation of customer environments, encryption, audit logs, incident management and list of subprocessors. Find out how to turn off storage or training on your inputs, what retention periods apply and how a deletion request carries through to copies. Get the answers confirmed in the contract and the technical documentation, because a verbal assurance may not describe the actual configuration.

A safe pilot has a clear scope

Start with test or minimized data and with questions whose results you can verify. Define a small group of users, access roles, a way to report errors and the criteria for pausing the pilot. Before live use, check that the system does not return data outside a user's permissions and that logs do not store more than necessary.

The final assessment depends on your task and technical setup. Verify it with your data protection officer, your security team and legal counsel. This checklist helps you ask the right questions, but it is not a certification, a legal opinion or a substitute for assessing your specific processing.

Set up regular reviews after launch

Decide who monitors changes to vendors, the model, the processing location or retention settings, and how they will find out about them. Review access roles regularly, especially when a team member leaves or changes responsibilities. Also check that the audit log records the events you need without storing too much sensitive content.

Prepare an incident procedure: who to report it to, which access to suspend, how to preserve the necessary records and who decides on next steps. Also decide in advance how the pilot will end, including exporting or deleting data as agreed. It is a good idea to test these steps in a non-production scenario. Safe use is not a one-time setup at first login. It is an ongoing check of the technology, permissions, contract terms and how the team actually works.

Document decisions and responsibilities

Keep the key settings, the approved purpose, the responsible roles and the date of the next review in a place your team can update. When you change vendors or the way data is processed, you can then see what was assessed and who needs to revisit the decision. Restrict access to this documentation as needed, but don't leave it only in one team member's personal mailbox.