# OECD Sets Health-Data Reuse Criteria

The OECD has outlined criteria for deciding whether secondary use of health data for research and AI serves the public interest. Its framework emphasizes likely benefit, data quality and representativeness, proportionate privacy safeguards, equity, independence, and public communication. It does not create new legal authorization or a procurement opportunity, but gives health-AI providers and procurement teams concrete considerations for evaluating proposed data-use work and documenting its safeguards and public-interest rationale.

- Procurement teams can use the criteria to assess proposals involving health-data reuse, including how bidders establish likely benefit, data quality, representativeness, and equity.
- Providers should be prepared to explain privacy safeguards, how those safeguards will be maintained over time, and how research independence will be documented.
- The guidance is a framework for assessment, not a new legal permission or mandatory compliance rule; organizations must not treat it as replacing applicable legal requirements.

**Jurisdictions:** international
**Industries:** Healthcare, Information Technology
**Topics:** Artificial Intelligence
**Published:** October 17, 2026

### Government Entities
- Organisation for Economic Co-operation and Development (OECD)

### Sources
- [OECD Sets Out Public-Interest Criteria for Reusing Health Data in Research and AI - The Policy Edge](https://www.policyedge.in/p/oecd-sets-out-public-interest-criteria-for-reusing-health-data-in-research-and-ai) - The Policy Edge