Artificial Intelligence and Healthcare in Emerging Markets
Half of the world’s population remains without access to essential health services, with many individuals driven into poverty each year by out-of-pocket health expenses. UNCTAD estimates that to meet health-related Sustainable Development Goal obje...
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International Finance Corporation, Washington, DC
2020
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Online Access: | http://documents.worldbank.org/curated/en/733971606368563566/Artificial-Intelligence-and-Healthcare-in-Emerging-Markets http://hdl.handle.net/10986/34855 |
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okr-10986-348552021-04-23T14:02:10Z Artificial Intelligence and Healthcare in Emerging Markets Mrazek, Monique O'Neill, Felicity MATERNAL HEALTH CHILD HEALTH EMERGING MARKET ECONOMIES ARTIFICIAL INTELLIGENCE HEALTH SERVICE DELIVERY MACHINE LEARNING WELLNESS PRECISION MEDICINE Half of the world’s population remains without access to essential health services, with many individuals driven into poverty each year by out-of-pocket health expenses. UNCTAD estimates that to meet health-related Sustainable Development Goal objectives, over 140 billion dollars in private sector finance is required annually between 2015 and 2030. Significant investments in health technology, including those using digital health and artificial intelligence, are expected to contribute to bridging the health service gap in emerging markets, given the potential of these new innovations to reach underserved patients. Many health-tech innovators are integrating AI into their product solutions, with early examples showing promise in improving diagnoses, reducing costs, and enabling access to remote health services. COVID-19 has accelerated the pace of transition to digital health applications, including those that integrate AI. On a system-wide level, much remains to be done by all healthcare stakeholders to create sustainable ecosystems that facilitate these innovations in achieving scale while beneficially reaching the lowest-income patients in emerging markets. 2020-12-02T15:14:08Z 2020-12-02T15:14:08Z 2020-09 Brief http://documents.worldbank.org/curated/en/733971606368563566/Artificial-Intelligence-and-Healthcare-in-Emerging-Markets http://hdl.handle.net/10986/34855 English EMCompass;Note 91 CC BY-NC-ND 3.0 IGO http://creativecommons.org/licenses/by-nc-nd/3.0/igo International Finance Corporation International Finance Corporation, Washington, DC Publications & Research Publications & Research :: Brief |
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Digital Repository |
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Foreign Institution |
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Digital Repositories |
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World Bank Open Knowledge Repository |
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World Bank |
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English |
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MATERNAL HEALTH CHILD HEALTH EMERGING MARKET ECONOMIES ARTIFICIAL INTELLIGENCE HEALTH SERVICE DELIVERY MACHINE LEARNING WELLNESS PRECISION MEDICINE |
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MATERNAL HEALTH CHILD HEALTH EMERGING MARKET ECONOMIES ARTIFICIAL INTELLIGENCE HEALTH SERVICE DELIVERY MACHINE LEARNING WELLNESS PRECISION MEDICINE Mrazek, Monique O'Neill, Felicity Artificial Intelligence and Healthcare in Emerging Markets |
relation |
EMCompass;Note 91 |
description |
Half of the world’s population remains
without access to essential health services, with many
individuals driven into poverty each year by out-of-pocket
health expenses. UNCTAD estimates that to meet
health-related Sustainable Development Goal objectives, over
140 billion dollars in private sector finance is required
annually between 2015 and 2030. Significant investments in
health technology, including those using digital health and
artificial intelligence, are expected to contribute to
bridging the health service gap in emerging markets, given
the potential of these new innovations to reach underserved
patients. Many health-tech innovators are integrating AI
into their product solutions, with early examples showing
promise in improving diagnoses, reducing costs, and enabling
access to remote health services. COVID-19 has accelerated
the pace of transition to digital health applications,
including those that integrate AI. On a system-wide level,
much remains to be done by all healthcare stakeholders to
create sustainable ecosystems that facilitate these
innovations in achieving scale while beneficially reaching
the lowest-income patients in emerging markets. |
format |
Brief |
author |
Mrazek, Monique O'Neill, Felicity |
author_facet |
Mrazek, Monique O'Neill, Felicity |
author_sort |
Mrazek, Monique |
title |
Artificial Intelligence and Healthcare in Emerging Markets |
title_short |
Artificial Intelligence and Healthcare in Emerging Markets |
title_full |
Artificial Intelligence and Healthcare in Emerging Markets |
title_fullStr |
Artificial Intelligence and Healthcare in Emerging Markets |
title_full_unstemmed |
Artificial Intelligence and Healthcare in Emerging Markets |
title_sort |
artificial intelligence and healthcare in emerging markets |
publisher |
International Finance Corporation, Washington, DC |
publishDate |
2020 |
url |
http://documents.worldbank.org/curated/en/733971606368563566/Artificial-Intelligence-and-Healthcare-in-Emerging-Markets http://hdl.handle.net/10986/34855 |
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1764481798804340736 |