Laying the foundations for artificial intelligence in health

Autor(es):
Oliveira Hashiguchi, Tiago Cravo | Slawomirski, Luke | Oderkirk, Jillian
Organización de Cooperación y Desarrollo Económico
Series OECD Health Working PapersEditor: Paris : OECD Publishing, 2021Descripción: 33 p. ; 1 documento PDFTipo de contenido: texto (visual)
Tipo de medio: electrónico
Tipo de soporte: recurso en línea
Serie normalizada: OECD Health Working PapersTema(s): Sanidad digital | Inteligencia Artificial | atención médica | IA | salud | COVID-19Recursos en línea: Acceso al documento Resumen: Artificial intelligence (AI) has the potential to make health care more effective, efficient and equitable. AI applications are on the rise, from clinical decision-making and public health, to biomedical research and drug development, to health system administration and service redesign. The COVID-19 pandemic is serving as a catalyst, yet it is also a reality check, highlighting the limits of existing AI systems. In the real world, health data are not always available, standardised, or easily shared. Limited data hinders the ability of AI tools to generate accurate information for diverse populations with potentially very complex conditions. broadly, policy makers should work towards implementing and operationalising the OECD AI Principles, as well as investing in technology and human capital. Strong policy frameworks based on inclusive and extensive dialogue among all stakeholders are also key to ensure AI adds value to patients and to societies. AI that influences clinical and public health decisions should be introduced with care.
Lista(s) en las que aparece este ítem: Novedades Junio 2021 | ¿Dónde se aplica la inteligencia artificial?
Etiquetas de esta biblioteca: Ingresar para agregar etiquetas.
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El Centro de Documentación del Observatorio Nacional de las Telecomunicaciones y de la Sociedad de la Información (CDO) os da la bienvenida al catálogo bibliográfico sobre recursos digitales en las materias de Tecnologías de la Información y telecomunicaciones, Servicios públicos digitales, Administración Electrónica y Economía digital. 

 

 

Colección digital Acceso libre online pdf 1000020176792

Bibliografía: 26-31

Artificial intelligence (AI) has the potential to make health care more effective, efficient and equitable. AI applications are on the rise, from clinical decision-making and public health, to biomedical research and drug development, to health system administration and service redesign. The COVID-19 pandemic is serving as a catalyst, yet it is also a reality check, highlighting the limits of existing AI systems. In the real world, health data are not always available, standardised, or easily shared. Limited data hinders the ability of AI tools to generate accurate information for diverse populations with potentially very complex conditions. broadly, policy makers should work towards implementing and operationalising the OECD AI Principles, as well as investing in technology and human capital. Strong policy frameworks based on inclusive and extensive dialogue among all stakeholders are also key to ensure AI adds value to patients and to societies. AI that influences clinical and public health decisions should be introduced with care.

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