TY - GEN AU - Oliveira Hashiguchi, Tiago Cravo AU - AU - ED - Organización de Cooperación y Desarrollo Económico TI - Laying the foundations for artificial intelligence in health T2 - OECD Health Working Papers PY - 2021/// CY - Paris PB - OECD Publishing KW - Sanidad digital KW - Inteligencia Artificial KW - atención médica KW - IA KW - salud KW - COVID-19 N1 - Bibliografía: 26-31 N2 - 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. UR - https://www.oecd-ilibrary.org/docserver/3f62817d-en.pdf?expires=1623666438&id=id&accname=guest&checksum=459049001A0AA4A281102985A86DBD7B ER -