Healthcare

Health data carries two constraints at once. It has to be accurate enough to inform clinical and programme decisions, and confidential enough that handling it is never casual. Both are design constraints here, not compliance steps bolted on at the end.

In practice most health institutions are already collecting more than they can use - registers, forms, and systems introduced separately and never joined. The first gain is usually not new analysis but making existing collection produce a coherent picture.

Where engagements usually start

• Data quality assessment across registers and reporting systems
• Indicator definitions aligned to the frameworks you report against
• Research and evaluation for health programmes
• Handling protocols that minimise identifiable data by default