Scaling artificial intelligence in health

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<rdf:Description>
<dc:creator>Organisation for Economic Co-operation and Development</dc:creator>
<dc:creator>OECD</dc:creator>
<dc:date>2026</dc:date>
<dc:description xml:lang="es">Sumario: The report analyses the current state and challenges of adopting and responsibly scaling artificial intelligence within the health systems of OECD countries. It examines existing barriers related to data, governance, regulation and workforce capabilities, as well as the risks associated with the use of AI in healthcare. It presents an action framework based on four pillarsenablers, guardrails, engagement and trustworthinessand proposes a public policy checklist to guide policymakers. The document compares the level of readiness of member countries and highlights emerging good practices. Its objective is to facilitate the adoption of AI in a way that maximises health and economic benefits without compromising safety, ethics or public trust</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/190253.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:publisher>Organisation for Economic Co-operation and Development</dc:publisher>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Inteligencia artificial</dc:subject>
<dc:subject xml:lang="es">Salud</dc:subject>
<dc:subject xml:lang="es">Sanidad</dc:subject>
<dc:subject xml:lang="es">sistemas de salud</dc:subject>
<dc:subject xml:lang="es">Protección de datos</dc:subject>
<dc:subject xml:lang="es">Política sanitaria</dc:subject>
<dc:subject xml:lang="es">Países de la OCDE</dc:subject>
<dc:type xml:lang="es">Livros</dc:type>
<dc:title xml:lang="es">Scaling artificial intelligence in health</dc:title>
<dc:format xml:lang="es">64 p.</dc:format>
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