Laying the foundations for artificial intelligence in health:
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-1...
Gespeichert in:
1. Verfasser: | |
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Weitere Verfasser: | , |
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Paris
OECD Publishing
2021
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Schriftenreihe: | OECD Health Working Papers
no.128 |
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | 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. Most AI in health is actually artificial narrow intelligence, designed to accomplish very specific tasks on previously curated data from single settings. 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. Having appropriate patient data is critical for AI tools because decisions based on models with skewed or incomplete data can put patients at risk. Policy makers should beware of the hype surrounding AI and identify and focus on real problems and opportunities that AI can help address. In setting the foundations for AI to help achieve health policy objectives, one key priority is to improve data quality, interoperability and access in a secure way through better data governance. More 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. Ultimately, high expectations must be managed, but real opportunities should be pursued. |
Beschreibung: | 1 Online-Ressource (33 p.) |
DOI: | 10.1787/3f62817d-en |
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spelling | Oliveira Hashiguchi, Tiago Cravo VerfasserIn aut Laying the foundations for artificial intelligence in health Tiago Cravo, Oliveira Hashiguchi, Luke, Slawomirski and Jillian, Oderkirk Paris OECD Publishing 2021 1 Online-Ressource (33 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OECD Health Working Papers no.128 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. Most AI in health is actually artificial narrow intelligence, designed to accomplish very specific tasks on previously curated data from single settings. 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. Having appropriate patient data is critical for AI tools because decisions based on models with skewed or incomplete data can put patients at risk. Policy makers should beware of the hype surrounding AI and identify and focus on real problems and opportunities that AI can help address. In setting the foundations for AI to help achieve health policy objectives, one key priority is to improve data quality, interoperability and access in a secure way through better data governance. More 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. Ultimately, high expectations must be managed, but real opportunities should be pursued. Social Issues/Migration/Health Science and Technology Slawomirski, Luke MitwirkendeR ctb Oderkirk, Jillian MitwirkendeR ctb FWS01 ZDB-13-SOC FWS_PDA_SOC https://doi.org/10.1787/3f62817d-en Volltext |
spellingShingle | Oliveira Hashiguchi, Tiago Cravo Laying the foundations for artificial intelligence in health Social Issues/Migration/Health Science and Technology |
title | Laying the foundations for artificial intelligence in health |
title_auth | Laying the foundations for artificial intelligence in health |
title_exact_search | Laying the foundations for artificial intelligence in health |
title_full | Laying the foundations for artificial intelligence in health Tiago Cravo, Oliveira Hashiguchi, Luke, Slawomirski and Jillian, Oderkirk |
title_fullStr | Laying the foundations for artificial intelligence in health Tiago Cravo, Oliveira Hashiguchi, Luke, Slawomirski and Jillian, Oderkirk |
title_full_unstemmed | Laying the foundations for artificial intelligence in health Tiago Cravo, Oliveira Hashiguchi, Luke, Slawomirski and Jillian, Oderkirk |
title_short | Laying the foundations for artificial intelligence in health |
title_sort | laying the foundations for artificial intelligence in health |
topic | Social Issues/Migration/Health Science and Technology |
topic_facet | Social Issues/Migration/Health Science and Technology |
url | https://doi.org/10.1787/3f62817d-en |
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