Drivers and social implications of Artificial Intelligence adoption in healthcare during the COVID-19 pandemic.

The COVID-19 pandemic continues to impact people worldwide-steadily depleting scarce resources in healthcare. Medical Artificial Intelligence (AI) promises a much-needed relief but only if the technology gets adopted at scale. The present research investigates people's intention to adopt medica...

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Autores principales:	Darius-Aurel Frank, Christian T Elbæk, Caroline Kjær Børsting, Panagiotis Mitkidis, Tobias Otterbring, Sylvie Borau
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e42126a3b56f49848e3f91883cc1db4c
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spelling	oai:doaj.org-article:e42126a3b56f49848e3f91883cc1db4c2021-12-02T20:16:19ZDrivers and social implications of Artificial Intelligence adoption in healthcare during the COVID-19 pandemic.1932-620310.1371/journal.pone.0259928https://doaj.org/article/e42126a3b56f49848e3f91883cc1db4c2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0259928https://doaj.org/toc/1932-6203The COVID-19 pandemic continues to impact people worldwide-steadily depleting scarce resources in healthcare. Medical Artificial Intelligence (AI) promises a much-needed relief but only if the technology gets adopted at scale. The present research investigates people's intention to adopt medical AI as well as the drivers of this adoption in a representative study of two European countries (Denmark and France, N = 1068) during the initial phase of the COVID-19 pandemic. Results reveal AI aversion; only 1 of 10 individuals choose medical AI over human physicians in a hypothetical triage-phase of COVID-19 pre-hospital entrance. Key predictors of medical AI adoption are people's trust in medical AI and, to a lesser extent, the trait of open-mindedness. More importantly, our results reveal that mistrust and perceived uniqueness neglect from human physicians, as well as a lack of social belonging significantly increase people's medical AI adoption. These results suggest that for medical AI to be widely adopted, people may need to express less confidence in human physicians and to even feel disconnected from humanity. We discuss the social implications of these findings and propose that successful medical AI adoption policy should focus on trust building measures-without eroding trust in human physicians.Darius-Aurel FrankChristian T ElbækCaroline Kjær BørstingPanagiotis MitkidisTobias OtterbringSylvie BorauPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11, p e0259928 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Darius-Aurel Frank Christian T Elbæk Caroline Kjær Børsting Panagiotis Mitkidis Tobias Otterbring Sylvie Borau Drivers and social implications of Artificial Intelligence adoption in healthcare during the COVID-19 pandemic.
description	The COVID-19 pandemic continues to impact people worldwide-steadily depleting scarce resources in healthcare. Medical Artificial Intelligence (AI) promises a much-needed relief but only if the technology gets adopted at scale. The present research investigates people's intention to adopt medical AI as well as the drivers of this adoption in a representative study of two European countries (Denmark and France, N = 1068) during the initial phase of the COVID-19 pandemic. Results reveal AI aversion; only 1 of 10 individuals choose medical AI over human physicians in a hypothetical triage-phase of COVID-19 pre-hospital entrance. Key predictors of medical AI adoption are people's trust in medical AI and, to a lesser extent, the trait of open-mindedness. More importantly, our results reveal that mistrust and perceived uniqueness neglect from human physicians, as well as a lack of social belonging significantly increase people's medical AI adoption. These results suggest that for medical AI to be widely adopted, people may need to express less confidence in human physicians and to even feel disconnected from humanity. We discuss the social implications of these findings and propose that successful medical AI adoption policy should focus on trust building measures-without eroding trust in human physicians.
format	article
author	Darius-Aurel Frank Christian T Elbæk Caroline Kjær Børsting Panagiotis Mitkidis Tobias Otterbring Sylvie Borau
author_facet	Darius-Aurel Frank Christian T Elbæk Caroline Kjær Børsting Panagiotis Mitkidis Tobias Otterbring Sylvie Borau
author_sort	Darius-Aurel Frank
title	Drivers and social implications of Artificial Intelligence adoption in healthcare during the COVID-19 pandemic.
title_short	Drivers and social implications of Artificial Intelligence adoption in healthcare during the COVID-19 pandemic.
title_full	Drivers and social implications of Artificial Intelligence adoption in healthcare during the COVID-19 pandemic.
title_fullStr	Drivers and social implications of Artificial Intelligence adoption in healthcare during the COVID-19 pandemic.
title_full_unstemmed	Drivers and social implications of Artificial Intelligence adoption in healthcare during the COVID-19 pandemic.
title_sort	drivers and social implications of artificial intelligence adoption in healthcare during the covid-19 pandemic.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/e42126a3b56f49848e3f91883cc1db4c
work_keys_str_mv	AT dariusaurelfrank driversandsocialimplicationsofartificialintelligenceadoptioninhealthcareduringthecovid19pandemic AT christiantelbæk driversandsocialimplicationsofartificialintelligenceadoptioninhealthcareduringthecovid19pandemic AT carolinekjærbørsting driversandsocialimplicationsofartificialintelligenceadoptioninhealthcareduringthecovid19pandemic AT panagiotismitkidis driversandsocialimplicationsofartificialintelligenceadoptioninhealthcareduringthecovid19pandemic AT tobiasotterbring driversandsocialimplicationsofartificialintelligenceadoptioninhealthcareduringthecovid19pandemic AT sylvieborau driversandsocialimplicationsofartificialintelligenceadoptioninhealthcareduringthecovid19pandemic
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Drivers and social implications of Artificial Intelligence adoption in healthcare during the COVID-19 pandemic.

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