Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis
Objectives Medical artificial intelligence (AI) has been used widely applied in clinical field due to its convenience and innovation. However, several policy and regulatory issues such as credibility, sharing of responsibility and ethics have raised concerns in the use of AI. It is therefore necessa...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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BMJ Publishing Group
2023-01-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/13/1/e066322.full |
| _version_ | 1797775030984114176 |
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| author | Jing Gao Xinyu Chen Xiaolian Jiang Huiqiong Xu Dingxi Bai |
| author_facet | Jing Gao Xinyu Chen Xiaolian Jiang Huiqiong Xu Dingxi Bai |
| author_sort | Jing Gao |
| collection | DOAJ |
| description | Objectives Medical artificial intelligence (AI) has been used widely applied in clinical field due to its convenience and innovation. However, several policy and regulatory issues such as credibility, sharing of responsibility and ethics have raised concerns in the use of AI. It is therefore necessary to understand the general public’s views on medical AI. Here, a meta-synthesis was conducted to analyse and summarise the public’s understanding of the application of AI in the healthcare field, to provide recommendations for future use and management of AI in medical practice.Design This was a meta-synthesis of qualitative studies.Method A search was performed on the following databases to identify studies published in English and Chinese: MEDLINE, CINAHL, Web of science, Cochrane library, Embase, PsycINFO, CNKI, Wanfang and VIP. The search was conducted from database inception to 25 December 2021. The meta-aggregation approach of JBI was used to summarise findings from qualitative studies, focusing on the public’s perception of the application of AI in healthcare.Results Of the 5128 studies screened, 12 met the inclusion criteria, hence were incorporated into analysis. Three synthesised findings were used as the basis of our conclusions, including advantages of medical AI from the public’s perspective, ethical and legal concerns about medical AI from the public’s perspective, and public suggestions on the application of AI in medical field.Conclusion Results showed that the public acknowledges the unique advantages and convenience of medical AI. Meanwhile, several concerns about the application of medical AI were observed, most of which involve ethical and legal issues. The standard application and reasonable supervision of medical AI is key to ensuring its effective utilisation. Based on the public’s perspective, this analysis provides insights and suggestions for health managers on how to implement and apply medical AI smoothly, while ensuring safety in healthcare practice.PROSPERO registration number CRD42022315033. |
| first_indexed | 2024-03-12T22:29:48Z |
| format | Article |
| id | doaj.art-aa77e8b8e2f544fa82de180ccc5f2e0f |
| institution | Directory Open Access Journal |
| issn | 2044-6055 |
| language | English |
| last_indexed | 2024-03-12T22:29:48Z |
| publishDate | 2023-01-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj.art-aa77e8b8e2f544fa82de180ccc5f2e0f2023-07-21T18:00:07ZengBMJ Publishing GroupBMJ Open2044-60552023-01-0113110.1136/bmjopen-2022-066322Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesisJing Gao0Xinyu Chen1Xiaolian Jiang2Huiqiong Xu3Dingxi Bai41 Logistics University of Chinese People’s Armed Police Forces, Tianjin, ChinaCollege of Bioinformatics and Technology, Harbin Medical University, Harbin, Heilongjiang, ChinaWest China School of Nursing, Sichuan University West China Hospital, Chengdu, Sichuan, China3 West China School of Nursing,Sichuan University/ Abdominal Oncology Ward, Cancer Center,West China Hospital, Sichuan University, Chengdu, Sichuan, People`s Republic of China2 School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, ChinaObjectives Medical artificial intelligence (AI) has been used widely applied in clinical field due to its convenience and innovation. However, several policy and regulatory issues such as credibility, sharing of responsibility and ethics have raised concerns in the use of AI. It is therefore necessary to understand the general public’s views on medical AI. Here, a meta-synthesis was conducted to analyse and summarise the public’s understanding of the application of AI in the healthcare field, to provide recommendations for future use and management of AI in medical practice.Design This was a meta-synthesis of qualitative studies.Method A search was performed on the following databases to identify studies published in English and Chinese: MEDLINE, CINAHL, Web of science, Cochrane library, Embase, PsycINFO, CNKI, Wanfang and VIP. The search was conducted from database inception to 25 December 2021. The meta-aggregation approach of JBI was used to summarise findings from qualitative studies, focusing on the public’s perception of the application of AI in healthcare.Results Of the 5128 studies screened, 12 met the inclusion criteria, hence were incorporated into analysis. Three synthesised findings were used as the basis of our conclusions, including advantages of medical AI from the public’s perspective, ethical and legal concerns about medical AI from the public’s perspective, and public suggestions on the application of AI in medical field.Conclusion Results showed that the public acknowledges the unique advantages and convenience of medical AI. Meanwhile, several concerns about the application of medical AI were observed, most of which involve ethical and legal issues. The standard application and reasonable supervision of medical AI is key to ensuring its effective utilisation. Based on the public’s perspective, this analysis provides insights and suggestions for health managers on how to implement and apply medical AI smoothly, while ensuring safety in healthcare practice.PROSPERO registration number CRD42022315033.https://bmjopen.bmj.com/content/13/1/e066322.full |
| spellingShingle | Jing Gao Xinyu Chen Xiaolian Jiang Huiqiong Xu Dingxi Bai Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis BMJ Open |
| title | Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis |
| title_full | Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis |
| title_fullStr | Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis |
| title_full_unstemmed | Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis |
| title_short | Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis |
| title_sort | public perceptions on the application of artificial intelligence in healthcare a qualitative meta synthesis |
| url | https://bmjopen.bmj.com/content/13/1/e066322.full |
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