Oliveira Hashiguchi, Tiago Cravo creator Slawomirski, Luke Oderkirk, Jillian Organización de Cooperación y Desarrollo Económico text fra Paris OECD Publishing 2021 monographic eng pdf 33 p. ; 1 documento PDF 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. / Tiago Cravo Oliveira Hashiguchi, Luke Slawomirski and Jillian Oderkirk Bibliografía: 26-31 Sanidad digital Inteligencia Artificial atención médica IA salud COVID-19 https://www.oecd-ilibrary.org/docserver/3f62817d-en.pdf?expires=1623666438&id=id&accname=guest&checksum=459049001A0AA4A281102985A86DBD7B https://www.oecd-ilibrary.org/docserver/3f62817d-en.pdf?expires=1623666438&id=id&accname=guest&checksum=459049001A0AA4A281102985A86DBD7B ES-MaONT 210614 20211006062701.0 00006599