Data protection & governance
A DPIA for a health-AI deployment
How a Data Protection Impact Assessment is worked through for a health-AI deployment, so high-risk processing is lawful and defensible.
Illustrative example. This is a representative worked example of how we structure this kind of work — not a specific client engagement. It contains no client names, confidential information or achieved metrics. Real client work is confidential and shared only anonymised, with permission, under NDA.
The challenge
An organisation plans to deploy a health-AI system that processes personal health data — which under UK GDPR is high-risk processing that requires a DPIA. The team needs a DPIA that genuinely identifies and mitigates risk, rather than a tick-box document that will not survive scrutiny by the ICO or an information-governance lead.
Approach
How the work is structured
The DPIA is treated as a risk-management tool, not a compliance formality — the point is to find and reduce real risks to individuals.
- Map the data flow. Document what personal data is processed, by whom, where it goes and on what lawful basis.
- Assess necessity & proportionality. Test whether the processing is necessary and proportionate to the purpose, and whether less-intrusive options exist.
- Identify & mitigate risks. Surface risks to individuals — re-identification, inaccuracy, bias, third-party access — and define mitigations.
- Governance sign-off. Produce a DPIA the organisation’s data-protection function can own, review and defend.
Result
What a good result looks like — and how it is measured
The deliverable is a DPIA that identifies real risks and their mitigations, and gives the data-protection function a defensible basis to proceed — or to pause.
- A complete, accurate data-flow map and lawful-basis analysis
- Documented risks to individuals with proportionate mitigations
- A necessity-and-proportionality justification
- Sign-off ownership within the organisation’s governance
Transferability
Would this transfer to your setting?
A DPIA is specific to a system, its data and its context; reusing one wholesale is a red flag. The example shows the reasoning, which transfers, not the risk register, which is bespoke.
Answers
Data protection & governance: frequently asked questions
Is this a real DPIA?
No — it is an illustrative worked example of the method. It contains no real organisation, data or risk register.
When is a DPIA legally required?
Under UK GDPR a DPIA is required for high-risk processing, which most health-AI processing of personal data will be. Completing it before deployment is both a legal requirement and good practice.
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