Kumar Ajay, Kumar Daruri Venkata Srinivas, Megha R U
School of Management Studies, University of Hyderabad, Hyderabad, India.
Health Mark Q. 2025 Apr-Jun;42(2):204-228. doi: 10.1080/07359683.2025.2504811. Epub 2025 May 20.
Healthcare workers are facing unprecedented work pressure due to the workload owing to the increase in lifestyle diseases. Artificial Intelligence (AI) is coming to help the healthcare industry by complementing healthcare workers. AI is finding applications in various domains of healthcare. Customer adoption of AI is one of the critical elements of the success of AI implementation in healthcare. The authors are trying to determine the essential factors affecting customer adoption of AI in healthcare. The authors have developed a conceptual framework for customer adoption of AI in healthcare using the Unified Theory of Acceptance and Use of Technology (UTAUT), privacy concerns, creepiness, and trust to build a framework that addresses the new aspect of AI-based solutions adoption. Structural Equation Modelling (SEM) and Multi-group Analysis (MGA) were used for data analysis. Performance expectancy, privacy concerns, trust, and social influence were the essential factors affecting customer adoption of AI in healthcare.
由于生活方式疾病增加导致工作量，医护人员正面临前所未有的工作压力。人工智能（AI）正在通过辅助医护人员来帮助医疗行业。AI在医疗保健的各个领域都有应用。客户对AI的采用是AI在医疗保健领域成功实施的关键要素之一。作者们试图确定影响客户在医疗保健中采用AI的关键因素。作者们利用技术接受与使用统一理论（UTAUT）、隐私担忧、诡异感和信任，为客户在医疗保健中采用AI开发了一个概念框架，以构建一个解决基于AI的解决方案采用新方面的框架。使用结构方程模型（SEM）和多组分析（MGA）进行数据分析。绩效期望、隐私担忧、信任和社会影响是影响客户在医疗保健中采用AI的关键因素。
