The application of technology acceptance and diffusion of innovation models in healthcare informatics

Ward, Rod

Abstract

There have been many attempts to apply previously developed models of technology acceptance and the diffusion of innovations; however the models have weaknesses in predicting the behaviour of individuals and organisations, particularly within the complex health domain. The insights recent work on these models offer is relevant to health informatics development and innovation and need to be considered in the development of organisational strategies. This paper analyses the merits of several relevant models and explores their potential significance for the success or otherwise of health related Information Technology projects, highlighting their weaknesses in relation to the lack of differentiation between technological and human factors which limit their applicability in practice. © 2013 Fellowship of Postgraduate Medicine.

• Journal Article Type: Review
• Publication Date: Dec 1, 2013
• Publicly Available Date: Jun 7, 2019
• Journal: Health Policy and Technology
• Print ISSN: 2211-8837
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 2
• Issue: 4
• Pages: 222-228
• DOI: https://doi.org/10.1016/j.hlpt.2013.07.002
• Keywords: diffusion of innovation, information technology (health care), technology acceptance, technology utilisation, unified theory of acceptance and utilisation of technology (UTAUT)
• Public URL: https://uwe-repository.worktribe.com/output/925760
• Publisher URL: http://dx.doi.org/10.1016/j.hlpt.2013.07.002
• Related Public URLs: http://www.sciencedirect.com/science/article/pii/S2211883713000543
• Additional Information: Additional Information : NOTICE: this is the author’s version of a work that was accepted for publication in Health Policy and Technology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Health Policy and Technology, Vol 2, Issue 4, Dec 2013, DOI#: 10.1016/j.hlpt.2013.07.002