This paper augments the technology acceptance model (TAM) by empirically investigating the influence of behavioral traits (privacy concerns and trust) and cognitive beliefs (perceived usefulness and perceived ease of use) on patients’ behavioral intention to accept technology in healthcare service delivery. Despite increased emphasis on healthcare service delivery, there has been limited studies as to how various behavioral constructs are related to adoption of new technology in healthcare sector. To this end, and to develop meaningful insights, a conceptual model integrating behavioral constructs with constructs related to technology acceptance model is devised. The aim here is essentially to understand relationships that predict patients’ acceptance of technology in healthcare services. The devised model is tested on responses obtained from survey of 416 patients availing healthcare service at various primary health centers in New Delhi, India. Structural equation modeling (SEM) is employed to conceptualize the model and validate nine hypotheses entailing key constructs. The results indicate that perceived usefulness, perceived ease of use, trust and privacy concern are direct predictors of patients’ behavior to accept technology in availing healthcare services. In summary, this research provides an empirical contribution to the literature on effect of trust and privacy concerns on acceptance of technology in healthcare.

本文通过实证研究行为特征（隐私关注和信任）和认知信念（感知有用性和感知易用性）对患者在医疗服务提供中接受技术的行为意向的影响，增强了技术接受模型 (TAM)。尽管越来越重视医疗保健服务的提供，但关于各种行为结构如何与医疗保健部门采用新技术相关的研究却很有限。为此，为了发展有意义的见解，设计了一个将行为结构与技术接受模型相关结构相结合的概念模型。这里的目的主要是了解预测患者对医疗保健服务技术接受度的关系。设计的模型是根据对 416 名在印度新德里各个初级保健中心接受医疗保健服务的患者进行调查而获得的答复进行测试的。采用结构方程模型 (SEM) 来概念化模型并验证包含关键构造的九个假设。结果表明，感知有用性、感知易用性、信任和隐私关注是患者在利用医疗服务时接受技术行为的直接预测因素。总之，这项研究为关于信任和隐私问题对医疗技术接受度的影响的文献提供了实证贡献。采用结构方程模型 (SEM) 来概念化模型并验证包含关键构造的九个假设。结果表明，感知有用性、感知易用性、信任和隐私关注是患者在利用医疗服务时接受技术行为的直接预测因素。总之，这项研究为关于信任和隐私问题对医疗技术接受度的影响的文献提供了实证贡献。采用结构方程模型 (SEM) 来概念化模型并验证包含关键构造的九个假设。结果表明，感知有用性、感知易用性、信任和隐私关注是患者在利用医疗服务时接受技术行为的直接预测因素。总之，这项研究为关于信任和隐私问题对医疗技术接受度的影响的文献提供了实证贡献。