Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA.
J Biomed Inform. 2010 Feb;43(1):159-72. doi: 10.1016/j.jbi.2009.07.002. Epub 2009 Jul 15.
Increasing interest in end users' reactions to health information technology (IT) has elevated the importance of theories that predict and explain health IT acceptance and use. This paper reviews the application of one such theory, the Technology Acceptance Model (TAM), to health care. We reviewed 16 data sets analyzed in over 20 studies of clinicians using health IT for patient care. Studies differed greatly in samples and settings, health ITs studied, research models, relationships tested, and construct operationalization. Certain TAM relationships were consistently found to be significant, whereas others were inconsistent. Several key relationships were infrequently assessed. Findings show that TAM predicts a substantial portion of the use or acceptance of health IT, but that the theory may benefit from several additions and modifications. Aside from improved study quality, standardization, and theoretically motivated additions to the model, an important future direction for TAM is to adapt the model specifically to the health care context, using beliefs elicitation methods.
人们对终端用户对健康信息技术 (IT) 的反应越来越感兴趣，这提高了能够预测和解释健康 IT 接受和使用的理论的重要性。本文回顾了其中一种理论，即技术接受模型 (TAM)，在医疗保健中的应用。我们回顾了 16 个数据集，这些数据集分析了 20 多项针对临床医生使用健康 IT 进行患者护理的研究。研究在样本和设置、研究的健康 IT、研究模型、测试的关系和结构操作化方面存在很大差异。某些 TAM 关系被一致认为是显著的，而其他关系则不一致。一些关键关系很少被评估。研究结果表明，TAM 可以预测健康 IT 的大量使用或接受，但该理论可能需要进行一些添加和修改。除了提高研究质量、标准化以及从理论上推动模型的发展之外，TAM 的一个重要未来方向是使用信念启发法，专门针对医疗保健环境对该模型进行调整。
