{"title":"临床人工智能的未来作用:慢性病患者视角","authors":"Bijun Wang;Onur Asan;Ting Liao;Mo Mansouri","doi":"10.1109/TTS.2024.3374647","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI) can transform various aspects of healthcare, including diagnosis, treatment, monitoring, and preventative care. Patients’ attitudes and views are considered critical factors for the development and success of AI-based technology in healthcare delivery. This study seeks to explore the chronic patients’ perceptions, including their knowledge, concerns regarding misuse and abuse, their attitude toward AI involvement, and their views on the future role of AI in healthcare delivery. Using the convenience sampling technique, 219 chronic-condition participants completed an online survey. This study leveraged Hayes Process Macro to develop a moderated mediation model to analyze the collected data. Our results showed that patients’ knowledge of AI did not directly influence their perceptions of the future of AI in healthcare. Nonetheless, the evidence from the mediational analysis revealed an indirect effect, where concerns about AI misuse and abuse and extensive AI involvement played a role in that. Additionally, the level of trustworthiness moderated the relationship between acceptance of extensive AI involvement and patients’ perception of AI’s future role. These findings highlight the importance of considering patients’ views and attitudes towards AI and addressing any concerns or fears they may have in order to build trust and confidence in clinical AI systems, which can ultimately lead to better health outcomes.","PeriodicalId":73324,"journal":{"name":"IEEE transactions on technology and society","volume":"5 1","pages":"71-81"},"PeriodicalIF":0.0000,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Future Role of Clinical Artificial Intelligence: View of Chronic Patients\",\"authors\":\"Bijun Wang;Onur Asan;Ting Liao;Mo Mansouri\",\"doi\":\"10.1109/TTS.2024.3374647\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial intelligence (AI) can transform various aspects of healthcare, including diagnosis, treatment, monitoring, and preventative care. Patients’ attitudes and views are considered critical factors for the development and success of AI-based technology in healthcare delivery. This study seeks to explore the chronic patients’ perceptions, including their knowledge, concerns regarding misuse and abuse, their attitude toward AI involvement, and their views on the future role of AI in healthcare delivery. Using the convenience sampling technique, 219 chronic-condition participants completed an online survey. This study leveraged Hayes Process Macro to develop a moderated mediation model to analyze the collected data. Our results showed that patients’ knowledge of AI did not directly influence their perceptions of the future of AI in healthcare. Nonetheless, the evidence from the mediational analysis revealed an indirect effect, where concerns about AI misuse and abuse and extensive AI involvement played a role in that. Additionally, the level of trustworthiness moderated the relationship between acceptance of extensive AI involvement and patients’ perception of AI’s future role. These findings highlight the importance of considering patients’ views and attitudes towards AI and addressing any concerns or fears they may have in order to build trust and confidence in clinical AI systems, which can ultimately lead to better health outcomes.\",\"PeriodicalId\":73324,\"journal\":{\"name\":\"IEEE transactions on technology and society\",\"volume\":\"5 1\",\"pages\":\"71-81\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE transactions on technology and society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10462527/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE transactions on technology and society","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10462527/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
人工智能(AI)可以改变医疗保健的各个方面,包括诊断、治疗、监测和预防性护理。患者的态度和观点被认为是人工智能技术在医疗保健领域的发展和成功的关键因素。本研究旨在探讨慢性病患者的看法,包括他们的知识、对误用和滥用的担忧、他们对人工智能参与的态度以及他们对人工智能在医疗保健服务中未来角色的看法。通过方便抽样技术,219 名慢性病患者完成了在线调查。本研究利用 Hayes Process Macro 建立了一个调节中介模型来分析收集到的数据。我们的研究结果表明,患者对人工智能的了解程度并不直接影响他们对人工智能在医疗保健领域未来发展的看法。不过,中介分析的证据显示了一种间接影响,即对人工智能误用和滥用的担忧以及人工智能的广泛参与在其中发挥了作用。此外,可信赖程度调节了接受人工智能广泛参与与患者对人工智能未来作用的看法之间的关系。这些研究结果突显了考虑患者对人工智能的看法和态度以及解决他们可能存在的任何担忧或恐惧的重要性,从而建立对临床人工智能系统的信任和信心,最终实现更好的医疗效果。
The Future Role of Clinical Artificial Intelligence: View of Chronic Patients
Artificial intelligence (AI) can transform various aspects of healthcare, including diagnosis, treatment, monitoring, and preventative care. Patients’ attitudes and views are considered critical factors for the development and success of AI-based technology in healthcare delivery. This study seeks to explore the chronic patients’ perceptions, including their knowledge, concerns regarding misuse and abuse, their attitude toward AI involvement, and their views on the future role of AI in healthcare delivery. Using the convenience sampling technique, 219 chronic-condition participants completed an online survey. This study leveraged Hayes Process Macro to develop a moderated mediation model to analyze the collected data. Our results showed that patients’ knowledge of AI did not directly influence their perceptions of the future of AI in healthcare. Nonetheless, the evidence from the mediational analysis revealed an indirect effect, where concerns about AI misuse and abuse and extensive AI involvement played a role in that. Additionally, the level of trustworthiness moderated the relationship between acceptance of extensive AI involvement and patients’ perception of AI’s future role. These findings highlight the importance of considering patients’ views and attitudes towards AI and addressing any concerns or fears they may have in order to build trust and confidence in clinical AI systems, which can ultimately lead to better health outcomes.