Jonas F.R. Schaarup , Ravi Aggarwal , Else-Marie Dalsgaard , Kasper Norman , Ole Lindgård Dollerup , Hutan Ashrafian , Daniel R. Witte , Annelli Sandbæk , Adam Hulman
{"title":"糖尿病患者和非糖尿病患者对医疗保健中基于人工智能的解决方案的感知:来自丹麦中部健康队列的横断面调查","authors":"Jonas F.R. Schaarup , Ravi Aggarwal , Else-Marie Dalsgaard , Kasper Norman , Ole Lindgård Dollerup , Hutan Ashrafian , Daniel R. Witte , Annelli Sandbæk , Adam Hulman","doi":"10.1016/j.deman.2022.100114","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Patients’ acceptance of artificial intelligence (AI) based health-related technologies depend strongly on their perception and trust of AI. This research field has not been studied extensively, especially among people living with diabetes. A large proportion of them frequently use health technologies in their everyday lives to manage their condition, which may make them more prepared to adopt AI-based solutions. Our study aimed to investigate the perception of AI-based solutions in healthcare, and characteristics associated with positive attitudes towards AI among people with and without diabetes.</p></div><div><h3>Methods</h3><p>An online survey was sent to 12,755 participants in the Health in Central Denmark cohort, including 10 questions and six scenarios related to current technology use, data sharing, and AI. The question on benefits and risks of AI, and the responses to the scenarios were used as outcomes. Multinomial logistic regression was used to examine which characteristics were associated with seeing the benefit of AI over the risks, including diabetes status, age, sex, education, health literacy, the use of wearable devices, and views on data sharing. A similar analysis was conducted on the acceptance of AI-based solutions in healthcare-related scenarios.</p></div><div><h3>Findings</h3><p>8,420 participants responded to the survey. Most participants (88%) had previously heard about AI. 46% of participants agreed with the statement that the benefits of AI outweigh the risks, while only 2% agreed with the opposite statement, and 30% were unsure. We did not find evidence for a differential opinion by diabetes status. Having diabetes was associated with less openness to replace healthcare professionals by AI-based technologies, although most people were still open to AI if controlled by humans.</p></div><div><h3>Interpretation</h3><p>Despite the generally positive perception of AI and its benefits to healthcare, human interaction seemed to play an important role in defining positive attitudes to AI across different healthcare scenarios, especially among people with diabetes. This highlights the pressing need for a patient-centered development process of AI-based solutions in the future.</p></div>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Perception of artificial intelligence-based solutions in healthcare among people with and without diabetes: A cross-sectional survey from the health in Central Denmark cohort\",\"authors\":\"Jonas F.R. Schaarup , Ravi Aggarwal , Else-Marie Dalsgaard , Kasper Norman , Ole Lindgård Dollerup , Hutan Ashrafian , Daniel R. Witte , Annelli Sandbæk , Adam Hulman\",\"doi\":\"10.1016/j.deman.2022.100114\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>Patients’ acceptance of artificial intelligence (AI) based health-related technologies depend strongly on their perception and trust of AI. This research field has not been studied extensively, especially among people living with diabetes. A large proportion of them frequently use health technologies in their everyday lives to manage their condition, which may make them more prepared to adopt AI-based solutions. Our study aimed to investigate the perception of AI-based solutions in healthcare, and characteristics associated with positive attitudes towards AI among people with and without diabetes.</p></div><div><h3>Methods</h3><p>An online survey was sent to 12,755 participants in the Health in Central Denmark cohort, including 10 questions and six scenarios related to current technology use, data sharing, and AI. The question on benefits and risks of AI, and the responses to the scenarios were used as outcomes. Multinomial logistic regression was used to examine which characteristics were associated with seeing the benefit of AI over the risks, including diabetes status, age, sex, education, health literacy, the use of wearable devices, and views on data sharing. A similar analysis was conducted on the acceptance of AI-based solutions in healthcare-related scenarios.</p></div><div><h3>Findings</h3><p>8,420 participants responded to the survey. Most participants (88%) had previously heard about AI. 46% of participants agreed with the statement that the benefits of AI outweigh the risks, while only 2% agreed with the opposite statement, and 30% were unsure. We did not find evidence for a differential opinion by diabetes status. Having diabetes was associated with less openness to replace healthcare professionals by AI-based technologies, although most people were still open to AI if controlled by humans.</p></div><div><h3>Interpretation</h3><p>Despite the generally positive perception of AI and its benefits to healthcare, human interaction seemed to play an important role in defining positive attitudes to AI across different healthcare scenarios, especially among people with diabetes. This highlights the pressing need for a patient-centered development process of AI-based solutions in the future.</p></div>\",\"PeriodicalId\":1,\"journal\":{\"name\":\"Accounts of Chemical Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":16.4000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accounts of Chemical Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666970622000646\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666970622000646","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Perception of artificial intelligence-based solutions in healthcare among people with and without diabetes: A cross-sectional survey from the health in Central Denmark cohort
Background
Patients’ acceptance of artificial intelligence (AI) based health-related technologies depend strongly on their perception and trust of AI. This research field has not been studied extensively, especially among people living with diabetes. A large proportion of them frequently use health technologies in their everyday lives to manage their condition, which may make them more prepared to adopt AI-based solutions. Our study aimed to investigate the perception of AI-based solutions in healthcare, and characteristics associated with positive attitudes towards AI among people with and without diabetes.
Methods
An online survey was sent to 12,755 participants in the Health in Central Denmark cohort, including 10 questions and six scenarios related to current technology use, data sharing, and AI. The question on benefits and risks of AI, and the responses to the scenarios were used as outcomes. Multinomial logistic regression was used to examine which characteristics were associated with seeing the benefit of AI over the risks, including diabetes status, age, sex, education, health literacy, the use of wearable devices, and views on data sharing. A similar analysis was conducted on the acceptance of AI-based solutions in healthcare-related scenarios.
Findings
8,420 participants responded to the survey. Most participants (88%) had previously heard about AI. 46% of participants agreed with the statement that the benefits of AI outweigh the risks, while only 2% agreed with the opposite statement, and 30% were unsure. We did not find evidence for a differential opinion by diabetes status. Having diabetes was associated with less openness to replace healthcare professionals by AI-based technologies, although most people were still open to AI if controlled by humans.
Interpretation
Despite the generally positive perception of AI and its benefits to healthcare, human interaction seemed to play an important role in defining positive attitudes to AI across different healthcare scenarios, especially among people with diabetes. This highlights the pressing need for a patient-centered development process of AI-based solutions in the future.
期刊介绍：
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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