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Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients

OBJECTIVE: The attitudes about the usage of artificial intelligence in healthcare are controversial. Unlike the perception of healthcare professionals, the attitudes of patients and their companions have been of less interest so far. In this study, we aimed to investigate the perception of artificia...

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Autores principales: Fritsch, Sebastian J, Blankenheim, Andrea, Wahl, Alina, Hetfeld, Petra, Maassen, Oliver, Deffge, Saskia, Kunze, Julian, Rossaint, Rolf, Riedel, Morris, Marx, Gernot, Bickenbach, Johannes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9380417/
https://www.ncbi.nlm.nih.gov/pubmed/35983102
http://dx.doi.org/10.1177/20552076221116772
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author Fritsch, Sebastian J
Blankenheim, Andrea
Wahl, Alina
Hetfeld, Petra
Maassen, Oliver
Deffge, Saskia
Kunze, Julian
Rossaint, Rolf
Riedel, Morris
Marx, Gernot
Bickenbach, Johannes
author_facet Fritsch, Sebastian J
Blankenheim, Andrea
Wahl, Alina
Hetfeld, Petra
Maassen, Oliver
Deffge, Saskia
Kunze, Julian
Rossaint, Rolf
Riedel, Morris
Marx, Gernot
Bickenbach, Johannes
author_sort Fritsch, Sebastian J
collection PubMed
description OBJECTIVE: The attitudes about the usage of artificial intelligence in healthcare are controversial. Unlike the perception of healthcare professionals, the attitudes of patients and their companions have been of less interest so far. In this study, we aimed to investigate the perception of artificial intelligence in healthcare among this highly relevant group along with the influence of digital affinity and sociodemographic factors. METHODS: We conducted a cross-sectional study using a paper-based questionnaire with patients and their companions at a German tertiary referral hospital from December 2019 to February 2020. The questionnaire consisted of three sections examining (a) the respondents’ technical affinity, (b) their perception of different aspects of artificial intelligence in healthcare and (c) sociodemographic characteristics. RESULTS: From a total of 452 participants, more than 90% already read or heard about artificial intelligence, but only 24% reported good or expert knowledge. Asked on their general perception, 53.18% of the respondents rated the use of artificial intelligence in medicine as positive or very positive, but only 4.77% negative or very negative. The respondents denied concerns about artificial intelligence, but strongly agreed that artificial intelligence must be controlled by a physician. Older patients, women, persons with lower education and technical affinity were more cautious on the healthcare-related artificial intelligence usage. CONCLUSIONS: German patients and their companions are open towards the usage of artificial intelligence in healthcare. Although showing only a mediocre knowledge about artificial intelligence, a majority rated artificial intelligence in healthcare as positive. Particularly, patients insist that a physician supervises the artificial intelligence and keeps ultimate responsibility for diagnosis and therapy.
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spelling pubmed-93804172022-08-17 Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients Fritsch, Sebastian J Blankenheim, Andrea Wahl, Alina Hetfeld, Petra Maassen, Oliver Deffge, Saskia Kunze, Julian Rossaint, Rolf Riedel, Morris Marx, Gernot Bickenbach, Johannes Digit Health Quantitative Study OBJECTIVE: The attitudes about the usage of artificial intelligence in healthcare are controversial. Unlike the perception of healthcare professionals, the attitudes of patients and their companions have been of less interest so far. In this study, we aimed to investigate the perception of artificial intelligence in healthcare among this highly relevant group along with the influence of digital affinity and sociodemographic factors. METHODS: We conducted a cross-sectional study using a paper-based questionnaire with patients and their companions at a German tertiary referral hospital from December 2019 to February 2020. The questionnaire consisted of three sections examining (a) the respondents’ technical affinity, (b) their perception of different aspects of artificial intelligence in healthcare and (c) sociodemographic characteristics. RESULTS: From a total of 452 participants, more than 90% already read or heard about artificial intelligence, but only 24% reported good or expert knowledge. Asked on their general perception, 53.18% of the respondents rated the use of artificial intelligence in medicine as positive or very positive, but only 4.77% negative or very negative. The respondents denied concerns about artificial intelligence, but strongly agreed that artificial intelligence must be controlled by a physician. Older patients, women, persons with lower education and technical affinity were more cautious on the healthcare-related artificial intelligence usage. CONCLUSIONS: German patients and their companions are open towards the usage of artificial intelligence in healthcare. Although showing only a mediocre knowledge about artificial intelligence, a majority rated artificial intelligence in healthcare as positive. Particularly, patients insist that a physician supervises the artificial intelligence and keeps ultimate responsibility for diagnosis and therapy. SAGE Publications 2022-08-08 /pmc/articles/PMC9380417/ /pubmed/35983102 http://dx.doi.org/10.1177/20552076221116772 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Quantitative Study
Fritsch, Sebastian J
Blankenheim, Andrea
Wahl, Alina
Hetfeld, Petra
Maassen, Oliver
Deffge, Saskia
Kunze, Julian
Rossaint, Rolf
Riedel, Morris
Marx, Gernot
Bickenbach, Johannes
Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients
title Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients
title_full Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients
title_fullStr Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients
title_full_unstemmed Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients
title_short Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients
title_sort attitudes and perception of artificial intelligence in healthcare: a cross-sectional survey among patients
topic Quantitative Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9380417/
https://www.ncbi.nlm.nih.gov/pubmed/35983102
http://dx.doi.org/10.1177/20552076221116772
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