An Investigation into the Usability of Big Data Application in the Management of Type 2 Diabetes Mellitus (T2DM)
||10 April 2019
||3:00 PM - 4:30 PM
||Springfield - B154, or via Zoom
||For more information, please contact the Graduate Research School.
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The global prevalence of Type 2 Diabetes Mellitus (T2DM) has been on the rise over the last forty years and is expected to rise further in the future. International Diabetes Federation (IDF) estimates the global prevalence of diabetes to be 425 million. The co-morbidities and mortalities associated with T2DM are also on the rise. World Health Organisation (WHO) recommends the use of advanced technologies to effectively manage T2DM so that the patient's quality of life could be improved, associated mortalities and morbidity could be reduced. Big Data applications are increasingly being used in healthcare industry to manage various aspects of patient care. Attempts are being made to use Big Data applications such as visualisation, prescriptive analytics, predictive analytics and decision analytics in the management of chronic disease condition such as T2DM. Researchers have so for studied the adoption of technologies including Big Data Analytics in various contexts using frameworks such as Technology Adoption Model (TAM) and Unified Theory of Use and Acceptance of Technology (UTAUT), where usability of a technology is just viewed as one factor. Most of the research that used TAM or UTAUT has indicated that usability has significant influence on the adoption of a technology. But not adequate attempt has been made to study the factors influencing the usability of big data application in a specific context. Since usability not only impacts the adoption of a technology, but it also determines the organisational outcomes, there is a need to understand the factors that influence the usability of a big data analytics application in the management of T2DM. There is also need to understand how the characteristics of big data impact those factors affecting the usability. Hence this research will focus on the impact of big data characteristics on the factors that influence the usability of the big data analytics application in the management of T2DM