Theses and dissertations (Accounting and Informatics)
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Item Framework to develop a data-driven resilient and sustainable health information system for health care applications(2024) Epizitone, Ayogeboh; Moyane, Smangele Pretty; Agbehadji, Isreal EdemAs the world advances, the population increases and many economic gradients are impacted in several sectors. The need for an information system that affords intelligent and valuable insights is a potential upshot to targeting some of the challenges of the current global transformation. In the healthcare sector, an integrated information system that is salient in augmenting and enabling healthcare is highly demanded. Thus, a sustainable and resilient Health Information System (HIS) for quality health care applications in the healthcare space is paramount. This premise is substantiated by the need for real-time elucidations from an information system like the HIS that is transient between time and space to enable healthcare applications for all healthcare stakeholders. However, the current HIS has been posited in extant literature to be flawed in affording enhanced healthcare. Accordingly, deploying HIS practically has been challenging with isolated stakeholders' involvement. Although HIS is inadequate, it still maintains a firm position in the healthcare systems. The WHO acknowledges its disposition as a core enabling constituent of healthcare and a vital tool to realise pressing healthcare agendas. Extant literature further asserts the potential of HIS in realising the sustainable development goal related to health and well-being. Recognising the value and benefits of HIS necessitates harnessing technological advancement to augment its capabilities and leverage its weaknesses. Thus, this thesis investigates the HIS for heathcare applications via a data-driven paradigm with maximum inferences to the stakeholders within the healthcare arena. This thesis pinpoints and constructs the development of sustainable and resilient HIS from a data-driven angle as necessary for healthcare augmentation. The thesis uses a research methodology that traversed the study's main aim at the intersection of design science research and data sciences in conjunction with a sociotechnological concept to afford a resilient and sustainable HIS for health care applications. To uncover the knowledge-creation capabilities of health data within the HIS environment and revolutionise healthcare. Additionally, it highlights data science techniques that have been deployed in the health arena for health care applications. The thesis also illustrates the importance of data sciences serialisation and its implementation within the healthcare arena. This study develops a novel framework for HIS for healthcare that takes advantage of data to provide a resolution to counter the challenges experience with their deployment and utilisation. The concerns of HIS juxtaposition that have resulted in inadequate healthcare and impermanence among stakeholders are also considered in this thesis. The proposed framework integrates the socio-technical stance in the face of digitalisation and globalisation. The thesis’ findings stem from a deeper delve into extant literature to substantiate the knowledge, constraints, and perception of HIS deliverables. In the course of this study, the performance of HIS and health care applications was uncovered from the analysis of the extant body of gen on healthcare to highlight the significance of HIS within the healthcare space. The findings substantiated the value of HIS and unveiled its untapped benefits to the healthcare arena. It also highlights an overview of the existing HIS framework, which established the datadriven paradigm for HIS sustainability and resiliency. It further discusses data sources, actions and decisions within the healthcare arena. Demonstrating a pragmatic application of generated insights from data sciences techniques urgently needed to transmute the healthcare systems and respond to its associated dares. A practical enactment of this efficient and effective holistic model framework that incorporates data sciences to attain a robust, resilient and sustainable HIS for health care applications is envisioned to benefit healthcare stakeholders significantly. In addition, deploying and implementing the proposed framework would benefit the global healthcare stakeholders to attain its goal of universal healthcare coverage at a minimal cost.