Browsing by Author "Chali, Frederick"

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    Data exchange architecture for the development of mobile applications that support eHealth systems interoperability: a case of Tanzania
    (Accent Social and Welfare Society, 2018) Chali, Frederick; Yonah, Zaipuna; Kalegele, Khamisi
    Electronic Health (eHealth),especiallyin the form of electronic health records (eHRs),has proved to be helpful in health care services both in urban and remote areas. However, many of the systems are fragmented and work independently. Therefore, apart from their benefits, these systems are stand alone and as such they face some operational challenges.One of which is interoperability among the eHRs. Early efforts to interoperate eHealth systems, suggest that a single mobile application that can access multiple integrated eHRs is among the viable solutions on the way to eHRs interoperability. The proposed data exchange approachoffers a mechanism to integrate a single mobile application with multiple eHRs while mitigating the interoperability problem. The design work builds on the results of a survey previously done to collect preliminary requirements of the data exchange system. System design techniques were used to design this system. In thispaper, an architectural system design of an eHealth data exchange that can mitigatetheinteroperability challenge is presented.
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    Sustenance of the digital transformations induced by the COVID-19 pandemic response: lessons from Tanzanian public sector
    (Emerald Insight, 2022) Shao, Deo; Mwangakala, Hilda; Ishengoma, Fredrick; Mongi, Hector; Mambile, Cesilia; Chali, Frederick
    The emergency of the COVID-19 pandemic has affected organizations differently, leading to adopting alternative business operation models, including digital technologies. The rapid adoption of digital technologies during the COVID-19 pandemic demonstrates how adaptive technologies intersect with human and social institutions in potentially risky or inequitable ways. However, the sustenance of the digital transformations (DTs) induced by the COVID-19 crisis is still unclear. Thus, this study aims to evaluate the sustenance of DTs accelerated by the emergence of the COVID-19 pandemic response in the Tanzanian context amid the crisis. The study used a qualitative approach that included a literature review and semi-structured interviews with Information and Communication Technology (ICT) personnel from selected public institutions in Tanzania. The interviews elicited interviewees’ perspectives on the following: the digital revolution that occurred during the COVID-19 outbreak; how it affects their work; and the country’s future digital landscape. Additionally, a literature analysis established and generalized the practices used by the governments during the COVID-19 crisis. The results show that there is enormous, colossal press toward adopting digital solutions. The use of digital technologies, such as digital payments, e-commerce, telemedicine and online education, has attracted the attention of businesses and individuals in Tanzania. Consequently, the move has enabled the country to cope with the cascading impacts of the COVID-19 pandemic and progressive economic recovery to achieve its development goals. Furthermore, the findings offer policy strategies for taking the induced DTs to the next level and sustaining it. This study reports the lessons from the DTs induced by COVID-19 and their sustenance. It also contributes toward forward-thinking reforms and policy measures that could help Tanzania and the likes harness the DTs'’ potential in the wake of the pandemic.
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    The Nexus of Big Data and Big Data Analytics for Managerial Business Decision-Making: A Systematic Review Analysis
    (University of Dar es Salaam, 2024) Didas, Matendo; Chali, Frederick; Elisa, Noe
    The growing usage of big data and big data analytics in business has prompted academics and professionals to widen their examination of their implications in business decision-making procedures.  Until now, academics and business leaders have concentrated solely on the technical components of big data and analytics, ignoring the impact they have on the effectiveness of commercial decision-making systems. To begin, this paper intends to review the literature on the study of the relationship between the use of big data and big data analytics for its effectiveness in business industrial decision-making systems. Second, it gives important facts to assess whether big data and big data analytics catalyze the deployment of sophisticated business intelligence and informed decision-making representations. In this regard, the paper identifies the essential concerns that underpin the business-driven decision-making processes such as efficiency, and preciseness among others. Fundamentally, the current work contributes to the literature on big data and big data analytics for business-driven decision-making in both a theoretical fashion and provides a shot for future agenda possibilities to develop knowledge in this area.