An insight into the adoption of accountable-eHealth systems: n empirical research model based on the Australian context


Autoria(s): Gajanayake, Randike; Sahama, Tony; Iannella, Renato
Data(s)

2016

Resumo

This paper provides a first look at the acceptance of Accountable-eHealth (AeH) systems–a new genre of eHealth systems designed to manage information privacy concerns that hinder the proliferation of eHealth. The underlying concept of AeH systems is appropriate use of information through after-the-fact accountability for intentional misuse of information by healthcare professionals. An online questionnaire survey was utilised for data collection from three educational institutions in Queensland, Australia. A total of 23 hypotheses relating to 9 constructs were tested using a structural equation modelling technique. The moderation effects on the hypotheses were also tested based on six moderation factors to understand their role on the designed research model. A total of 334 valid responses were received. The cohort consisted of medical, nursing and other health related students studying at various levels in both undergraduate and postgraduate courses. Hypothesis testing provided sufficient data to accept 7 hypotheses. The empirical research model developed was capable of predicting 47.3% of healthcare professionals’ perceived intention to use AeH systems. All six moderation factors showed significant influence on the research model. A validation of this model with a wider survey cohort is recommended as a future study.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/92529/

Publicador

Elsevier

Relação

http://eprints.qut.edu.au/92529/1/Gajanayake%20et%20al%20-%20IRBM%20ePrints.pdf

Gajanayake, Randike, Sahama, Tony, & Iannella, Renato (2016) An insight into the adoption of accountable-eHealth systems: n empirical research model based on the Australian context. IRBM. (In Press)

Direitos

Copyright 2016 Elsevier

Fonte

School of Electrical Engineering & Computer Science; Institute for Future Environments; Science & Engineering Faculty

Palavras-Chave #080600 INFORMATION SYSTEMS #eHealth #privacy #information accountability #technology acceptance
Tipo

Journal Article