An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals
Abstract Artificial intelligence (AI) in the domain of healthcare is increasing in prominence. Acceptance is an indispensable prerequisite for the widespread implementation of AI. The aim of this integrative review is to explore barriers and facilitators influencing healthcare professionals’ accepta...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-06-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-023-00852-5 |
| _version_ | 1797420968062222336 |
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| author | Sophie Isabelle Lambert Murielle Madi Saša Sopka Andrea Lenes Hendrik Stange Claus-Peter Buszello Astrid Stephan |
| author_facet | Sophie Isabelle Lambert Murielle Madi Saša Sopka Andrea Lenes Hendrik Stange Claus-Peter Buszello Astrid Stephan |
| author_sort | Sophie Isabelle Lambert |
| collection | DOAJ |
| description | Abstract Artificial intelligence (AI) in the domain of healthcare is increasing in prominence. Acceptance is an indispensable prerequisite for the widespread implementation of AI. The aim of this integrative review is to explore barriers and facilitators influencing healthcare professionals’ acceptance of AI in the hospital setting. Forty-two articles met the inclusion criteria for this review. Pertinent elements to the study such as the type of AI, factors influencing acceptance, and the participants’ profession were extracted from the included studies, and the studies were appraised for their quality. The data extraction and results were presented according to the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The included studies revealed a variety of facilitating and hindering factors for AI acceptance in the hospital setting. Clinical decision support systems (CDSS) were the AI form included in most studies (n = 21). Heterogeneous results with regard to the perceptions of the effects of AI on error occurrence, alert sensitivity and timely resources were reported. In contrast, fear of a loss of (professional) autonomy and difficulties in integrating AI into clinical workflows were unanimously reported to be hindering factors. On the other hand, training for the use of AI facilitated acceptance. Heterogeneous results may be explained by differences in the application and functioning of the different AI systems as well as inter-professional and interdisciplinary disparities. To conclude, in order to facilitate acceptance of AI among healthcare professionals it is advisable to integrate end-users in the early stages of AI development as well as to offer needs-adjusted training for the use of AI in healthcare and providing adequate infrastructure. |
| first_indexed | 2024-03-09T07:09:11Z |
| format | Article |
| id | doaj.art-3e0dc181339345029bca6b2dc0d6ec7c |
| institution | Directory Open Access Journal |
| issn | 2398-6352 |
| language | English |
| last_indexed | 2024-03-09T07:09:11Z |
| publishDate | 2023-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Digital Medicine |
| spelling | doaj.art-3e0dc181339345029bca6b2dc0d6ec7c2023-12-03T09:14:09ZengNature Portfolionpj Digital Medicine2398-63522023-06-016111410.1038/s41746-023-00852-5An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitalsSophie Isabelle Lambert0Murielle Madi1Saša Sopka2Andrea Lenes3Hendrik Stange4Claus-Peter Buszello5Astrid Stephan6AIXTRA—Competence Center for Training and Patient Safety, Medical Faculty, RWTH Aachen UniversityDepartment of Nursing Science, Uniklinik RWTH AachenAIXTRA—Competence Center for Training and Patient Safety, Medical Faculty, RWTH Aachen UniversityAIXTRA—Competence Center for Training and Patient Safety, Medical Faculty, RWTH Aachen UniversityFraunhofer Society for the Advancement of Applied Research. Fraunhofer-Institute for Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven 1Fraunhofer Society for the Advancement of Applied Research. Fraunhofer-Institute for Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven 1Department of Nursing Science, Uniklinik RWTH AachenAbstract Artificial intelligence (AI) in the domain of healthcare is increasing in prominence. Acceptance is an indispensable prerequisite for the widespread implementation of AI. The aim of this integrative review is to explore barriers and facilitators influencing healthcare professionals’ acceptance of AI in the hospital setting. Forty-two articles met the inclusion criteria for this review. Pertinent elements to the study such as the type of AI, factors influencing acceptance, and the participants’ profession were extracted from the included studies, and the studies were appraised for their quality. The data extraction and results were presented according to the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The included studies revealed a variety of facilitating and hindering factors for AI acceptance in the hospital setting. Clinical decision support systems (CDSS) were the AI form included in most studies (n = 21). Heterogeneous results with regard to the perceptions of the effects of AI on error occurrence, alert sensitivity and timely resources were reported. In contrast, fear of a loss of (professional) autonomy and difficulties in integrating AI into clinical workflows were unanimously reported to be hindering factors. On the other hand, training for the use of AI facilitated acceptance. Heterogeneous results may be explained by differences in the application and functioning of the different AI systems as well as inter-professional and interdisciplinary disparities. To conclude, in order to facilitate acceptance of AI among healthcare professionals it is advisable to integrate end-users in the early stages of AI development as well as to offer needs-adjusted training for the use of AI in healthcare and providing adequate infrastructure.https://doi.org/10.1038/s41746-023-00852-5 |
| spellingShingle | Sophie Isabelle Lambert Murielle Madi Saša Sopka Andrea Lenes Hendrik Stange Claus-Peter Buszello Astrid Stephan An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals npj Digital Medicine |
| title | An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals |
| title_full | An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals |
| title_fullStr | An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals |
| title_full_unstemmed | An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals |
| title_short | An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals |
| title_sort | integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals |
| url | https://doi.org/10.1038/s41746-023-00852-5 |
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