Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping Review
BackgroundArtificial intelligence (AI) has the potential to improve the efficiency and effectiveness of health care service delivery. However, the perceptions and needs of such systems remain elusive, hindering efforts to promote AI adoption in health care. Object...
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| Format: | Article |
| Language: | English |
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JMIR Publications
2022-01-01
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| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2022/1/e32939 |
| _version_ | 1797735408552902656 |
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| author | Han Shi Jocelyn Chew Palakorn Achananuparp |
| author_facet | Han Shi Jocelyn Chew Palakorn Achananuparp |
| author_sort | Han Shi Jocelyn Chew |
| collection | DOAJ |
| description |
BackgroundArtificial intelligence (AI) has the potential to improve the efficiency and effectiveness of health care service delivery. However, the perceptions and needs of such systems remain elusive, hindering efforts to promote AI adoption in health care.
ObjectiveThis study aims to provide an overview of the perceptions and needs of AI to increase its adoption in health care.
MethodsA systematic scoping review was conducted according to the 5-stage framework by Arksey and O’Malley. Articles that described the perceptions and needs of AI in health care were searched across nine databases: ACM Library, CINAHL, Cochrane Central, Embase, IEEE Xplore, PsycINFO, PubMed, Scopus, and Web of Science for studies that were published from inception until June 21, 2021. Articles that were not specific to AI, not research studies, and not written in English were omitted.
ResultsOf the 3666 articles retrieved, 26 (0.71%) were eligible and included in this review. The mean age of the participants ranged from 30 to 72.6 years, the proportion of men ranged from 0% to 73.4%, and the sample sizes for primary studies ranged from 11 to 2780. The perceptions and needs of various populations in the use of AI were identified for general, primary, and community health care; chronic diseases self-management and self-diagnosis; mental health; and diagnostic procedures. The use of AI was perceived to be positive because of its availability, ease of use, and potential to improve efficiency and reduce the cost of health care service delivery. However, concerns were raised regarding the lack of trust in data privacy, patient safety, technological maturity, and the possibility of full automation. Suggestions for improving the adoption of AI in health care were highlighted: enhancing personalization and customizability; enhancing empathy and personification of AI-enabled chatbots and avatars; enhancing user experience, design, and interconnectedness with other devices; and educating the public on AI capabilities. Several corresponding mitigation strategies were also identified in this study.
ConclusionsThe perceptions and needs of AI in its use in health care are crucial in improving its adoption by various stakeholders. Future studies and implementations should consider the points highlighted in this study to enhance the acceptability and adoption of AI in health care. This would facilitate an increase in the effectiveness and efficiency of health care service delivery to improve patient outcomes and satisfaction. |
| first_indexed | 2024-03-12T12:58:39Z |
| format | Article |
| id | doaj.art-96d1825d5cb6493197182ba55fcc0bd0 |
| institution | Directory Open Access Journal |
| issn | 1438-8871 |
| language | English |
| last_indexed | 2024-03-12T12:58:39Z |
| publishDate | 2022-01-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | Journal of Medical Internet Research |
| spelling | doaj.art-96d1825d5cb6493197182ba55fcc0bd02023-08-28T20:22:10ZengJMIR PublicationsJournal of Medical Internet Research1438-88712022-01-01241e3293910.2196/32939Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping ReviewHan Shi Jocelyn Chewhttps://orcid.org/0000-0002-4209-1647Palakorn Achananuparphttps://orcid.org/0000-0002-7684-1725 BackgroundArtificial intelligence (AI) has the potential to improve the efficiency and effectiveness of health care service delivery. However, the perceptions and needs of such systems remain elusive, hindering efforts to promote AI adoption in health care. ObjectiveThis study aims to provide an overview of the perceptions and needs of AI to increase its adoption in health care. MethodsA systematic scoping review was conducted according to the 5-stage framework by Arksey and O’Malley. Articles that described the perceptions and needs of AI in health care were searched across nine databases: ACM Library, CINAHL, Cochrane Central, Embase, IEEE Xplore, PsycINFO, PubMed, Scopus, and Web of Science for studies that were published from inception until June 21, 2021. Articles that were not specific to AI, not research studies, and not written in English were omitted. ResultsOf the 3666 articles retrieved, 26 (0.71%) were eligible and included in this review. The mean age of the participants ranged from 30 to 72.6 years, the proportion of men ranged from 0% to 73.4%, and the sample sizes for primary studies ranged from 11 to 2780. The perceptions and needs of various populations in the use of AI were identified for general, primary, and community health care; chronic diseases self-management and self-diagnosis; mental health; and diagnostic procedures. The use of AI was perceived to be positive because of its availability, ease of use, and potential to improve efficiency and reduce the cost of health care service delivery. However, concerns were raised regarding the lack of trust in data privacy, patient safety, technological maturity, and the possibility of full automation. Suggestions for improving the adoption of AI in health care were highlighted: enhancing personalization and customizability; enhancing empathy and personification of AI-enabled chatbots and avatars; enhancing user experience, design, and interconnectedness with other devices; and educating the public on AI capabilities. Several corresponding mitigation strategies were also identified in this study. ConclusionsThe perceptions and needs of AI in its use in health care are crucial in improving its adoption by various stakeholders. Future studies and implementations should consider the points highlighted in this study to enhance the acceptability and adoption of AI in health care. This would facilitate an increase in the effectiveness and efficiency of health care service delivery to improve patient outcomes and satisfaction.https://www.jmir.org/2022/1/e32939 |
| spellingShingle | Han Shi Jocelyn Chew Palakorn Achananuparp Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping Review Journal of Medical Internet Research |
| title | Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping Review |
| title_full | Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping Review |
| title_fullStr | Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping Review |
| title_full_unstemmed | Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping Review |
| title_short | Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping Review |
| title_sort | perceptions and needs of artificial intelligence in health care to increase adoption scoping review |
| url | https://www.jmir.org/2022/1/e32939 |
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