How should health organizations evaluate conversational AI?
A practical framework covering intended use, evidence, safety, bias, privacy, implementation, and monitoring.
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Focused articles for health leaders, service providers, evaluators, researchers, and digital-health teams.
A practical framework covering intended use, evidence, safety, bias, privacy, implementation, and monitoring.
Read the article →A future guide to aligning evaluation questions, measures, methods, and reporting with real decisions.
A future article on turning stakeholder participation into transparent design decisions and accountable development.