Technological Educational Institute of Crete, School of Technological Applications, Department of Sciences, Division of Computer Science, Heraklion, Crete, Greece.
J Biomed Inform. 2011 Aug;44(4):553-64. doi: 10.1016/j.jbi.2011.01.009. Epub 2011 Feb 1.
Recent empirical research has utilized the Technology Acceptance Model (TAM) to advance the understanding of doctors' and nurses' technology acceptance in the workplace. However, the majority of the reported studies are either qualitative in nature or use small convenience samples of medical staff. Additionally, in very few studies moderators are either used or assessed despite their importance in TAM based research. The present study focuses on the application of TAM in order to explain the intention to use clinical information systems, in a random sample of 604 medical staff (534 physicians) working in 14 hospitals in Greece. We introduce physicians' specialty as a moderator in TAM and test medical staff's information and communication technology (ICT) knowledge and ICT feature demands, as external variables. The results show that TAM predicts a substantial proportion of the intention to use clinical information systems. Findings make a contribution to the literature by replicating, explaining and advancing the TAM, whereas theory is benefited by the addition of external variables and medical specialty as a moderator. Recommendations for further research are discussed.
最近的实证研究利用技术接受模型(TAM)来加深对医生和护士在工作场所中接受技术的理解。然而,报告的大多数研究要么是定性的,要么是使用医务人员的小便利样本。此外,尽管在基于 TAM 的研究中,调节变量很重要,但很少有研究使用或评估它们。本研究专注于 TAM 的应用,以解释在希腊 14 家医院的 604 名医务人员(534 名医生)的随机样本中使用临床信息系统的意图。我们将医生的专业知识作为 TAM 的一个调节变量,并测试医务人员的信息和通信技术(ICT)知识和 ICT 功能需求作为外部变量。结果表明,TAM 可以预测使用临床信息系统的意图的很大一部分。研究结果通过复制、解释和推进 TAM 为文献做出了贡献,而理论则受益于外部变量和医学专业知识作为调节变量的加入。讨论了进一步研究的建议。
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