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患者对人工智能医疗的认知及信任度调查 被引量:18

Investigation on Patients’ Cognition and Trust in Artificial Intelligence Medicine
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摘要 目的了解患者对人工智能医疗的认知和信任度情况,并分析其原因。方法采用自行设计的调查问卷,对重庆某三甲医院446名患者进行现场调查,并用Excel软件进行统计分析。结果大多数受访者认为人工智能医疗会给患者带来好处(91.26%),同时也会带来新问题(81.61%);对人工智能应用于临床医疗,患者接受度和信任度最高的是医疗后勤环节,其次为医患接触较少的医疗辅助环节,在诊病、做手术等医疗核心环节,人工智能介入的工作越多,占据的角色越重,患者的接受度和信任度反而越低;形成梯度信任的原因,主要是患者对人工智能医疗缺乏深层次了解,对其安全性、易用性及沟通能力等心存担忧和怀疑。结论患者对人工智能医疗有一定认知,对它的接受和信任尚处于浅层次状态。 Objective: To understand patients’ cognition and trust level of the artificial intelligence (AI) medical treatment and analyze the reasons. Methods: A self-designed questionnaire was used to investigate 446 patients in a Three-A hospital in Chongqing, and statistical analysis was carried out with Excel. Results: Most respondents believed that AI medical treatment would bring benefits to patients (91.26%) and new problems ( 81.61%). For the application of AI in clinical medicine, the most acceptable and trustworthy part of patients was the medical logistics link, followed by the medical assistant link with less contact between doctors and patients. In the core of medical treatment, such as diagnosis and surgery, the more the AI involved, the important the role AI played, the lower the acceptance and trust of patients. The main reason for the formation of gradient trust was that patients lack a deep understanding of AI medical treatment, and were worried and suspicious about its safety, ease of use and communication ability. Conclusion: Patients have a certain knowledge of AI medicine, and its acceptance and trust is still in a shallow state.
作者 刘伶俐 贺一墨 刘祥德 LIU Lingli;HE Yimo;LIU Xiangde(Basic Medical School,Army Medical University, Chongqing 400038,China;Department of Pharmacy & Laboratory Medicine, Army Medical University, Chongqing 400038, China;Department of Hepatobiliary Surgery of Southwest Hospital,Army Medical University,Chongqing 400038, China)
出处 《中国医学伦理学》 2019年第8期986-990,共5页 Chinese Medical Ethics
基金 重庆市社会科学规划项目“人工智能医疗应用中的伦理问题研究”(2018YBZX24) 陆军军医大学人文社科基金课题“医学高新技术条件下的医患信任问题研究”(2017XRW12)
关键词 人工智能医疗 医患信任 医患关系 Artificial Intelligence Medicine Doctor-patient Trust Doctor-patient Relationship
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