02428naa a22003738i 4500 6599 6599 00006599 ES-MaONT 20211006062701.0 210614s2021 fra o i|0| 0 eng d doi 10.1787/3f62817d-en ES-MaONT 4362 Oliveira Hashiguchi, Tiago Cravo Laying the foundations for artificial intelligence in health / Tiago Cravo Oliveira Hashiguchi, Luke Slawomirski and Jillian Oderkirk Paris : OECD Publishing, 2021 33 p. ; 1 documento PDF texto (visual) isbdcontent electrónico isbdmedia recurso en línea rdacarrier OECD Health Working Papers ; No. 128 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. Sanidad digital 2065 Inteligencia Artificial 4348 atención médica IA salud COVID-19 5086 Slawomirski, Luke 5087 Oderkirk, Jillian Organización de Cooperación y Desarrollo Económico 2843 OECD Health Working Papers 3592 https://www.oecd-ilibrary.org/docserver/3f62817d-en.pdf?expires=1623666438&id=id&accname=guest&checksum=459049001A0AA4A281102985A86DBD7B Acceso al documento 0 pdf INF z 0 0 0 3 1 7543 01 01 online 2021-06-14 0 1000020176792 2021-06-14 00:00:00 2021-06-14 INF pdf