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    BYOD in Hospitals-Security Issues and Mitigation Strategies.
    Wani, TA ; Mendoza, A ; Gray, K (ACM Press, 2019)
    The demand for using personal devices in hospitals (BYOD) has increased rapidly over the years. However, BYOD also means that healthcare organisations are at great risk of leaking sensitive information assets like Personal Health Information (PHI) of patients, given that personal devices are outside the control of hospital IT management and may lack important security measures. Hence, the aim of this research is to develop a mitigation strategy which can cater to such security issues. A comprehensive literature review was conducted to identify BYOD security issues and mitigation solutions. This was followed by using two existing security frameworks, the BYOD security framework and People Policy Technology (PPT) model to shape a stepwise mitigation strategy. Technical, managerial and social issues were identified which include unsecure user behaviour by hospital employees, lack of security awareness, usability issues, legal requirements and lost devices. The mitigation strategy elucidates that while information and communication technologies allow better enforcement of security measures; policies and training provide the desired guidance to influence positive user behaviour among employees. The paper also discusses the need for a balance between usability and security in the success of BYOD in hospitals and hence provides systematic guidelines to curb BYOD security risks in hospitals.
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    Analysing Health Professionals' Learning Interactions in an Online Social Network: A Longitudinal Study
    Li, X ; Verspoor, K ; Gray, K ; Barnett, S ; Georgiou, A ; Schaper, LK ; Whetton, S (IOS PRESS, 2016)
    This paper summarises a longitudinal analysis of learning interactions occurring over three years among health professionals in an online social network. The study employs the techniques of Social Network Analysis (SNA) and statistical modeling to identify the changes in patterns of interaction over time and test associated structural network effects. SNA results indicate overall low participation in the network, although some participants became active over time and even led discussions. In particular, the analysis has shown that a change of lead contributor results in a change in learning interaction and network structure. The analysis of structural network effects demonstrates that the interaction dynamics slow down over time, indicating that interactions in the network are more stable. The health professionals may be reluctant to share knowledge and collaborate in groups but were interested in building personal learning networks or simply seeking information.
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    Questioning the net generation: A collaborative project in Australian higher education
    Kennedy, G ; Krause, K-L ; Gray, K ; Judd, T ; Bennett, S ; Maton, K ; Dalgarno, B ; Bishop, A ; Markauskaite, L ; Goodyear, P ; Reimann, P (SYDNEY UNIV PRESS, 2006)
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    Immigrants and natives: Investigating differences between staff and students' use of technology
    Kennedy, G ; Dalgarno, B ; Bennett, S ; Judd, T ; Gray, K ; Chang, R (ASCILITE, 2008-12-01)
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    Knowledge, wisdom and a holistic approach: a case study of change-management in academic development
    CHANG, R ; Wahr, F ; De Pew, D ; GRAY, K ; Jansz-Senn, A ; Radloff, A (HERDSA, 2004)