Browsing by Author "Mwogosi, Augustino"

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    Revolutionizing decision support: a systematic literature review of contextual implementation models for electronic health records systems
    (Emerald, 2024) Mwogosi, Augustino; Shao, Deo; Kibusi, Stephen; Kapologwe, Ntuli
    Purpose This study aims to assess previously developed Electronic Health Records System (EHRS) implementation models and identify successful models for decision support. Design/methodology/approach A systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The data sources used were Scopus, PubMed and Google Scholar. The review identified peer-reviewed papers published in the English Language from January 2010 to April 2023, targeting well-defined implementation of EHRS with decision-support capabilities in healthcare. To comprehensively address the research question, we ensured that all potential sources of evidence were considered, and quantitative and qualitative studies reporting primary data and systematic review studies that directly addressed the research question were included in the review. By including these studies in our analysis, we aimed to provide a more thorough and reliable evaluation of the available evidence. Findings The findings suggest that the success of EHRS implementation is determined by organizational and human factors rather than technical factors alone. Successful implementation is dependent on a suitable implementation framework and management of EHRS. The review identified the capabilities of Clinical Decision Support (CDS) tools as essential in the effectiveness of EHRS in supporting decision-making. Originality/value This study contributes to the existing literature on EHRS implementation models and identifies successful models for decision support. The findings can inform future implementations and guide decision-making in healthcare facilities.
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    The role of EHRs interoperability towards facilitating informed decision making in healthcare facilities in Tanzania: conceptual framework
    (International Journal of Innovative Science and Research Technology, 2022) Mwogosi, Augustino; Shao, Deo; Kibusi, Stephen; Kapologwe,Ntuli A.
    EHRs facilitate sharing of healthcare from clinicians involved in patient care within and across health facilities. Interoperable EHRs can facilitate this exchange of information and as a result be able to facilitate decision making. Despite increasing adoption of EHRs in Tanzania, the realization of benefits that EHRs could offer through interoperability still lags behind. Currently most EHRs are not interoperable thus making it difficult to facilitate exchange of information between systems. The aim of the study therefore was to contribute to final conceptual frameworks that relate Interoperability and Decision making in the healthcare. Integrated Literature review was conducted to understand concepts related to Interoperability and decision making. Six propositions emerged from relevant studies that contribute in understanding the role of EHRs interoperability in facilitating decision making. Interoperability allows for collaboration which is an important aspect in decision making. Several studies have identified the benefits of having interoperable EHRs, but few have explored on how such benefits can contribute on decision-making
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    Tools and techniques for decision making in healthcare facilities in Tanzania: usage, challenges and resolutions
    (Journal of Health Informatics in Developing Countries, 2022) Mwogosi, Augustino
    Background: Decision making in healthcare involves the use of different tools and techniques which can either be manual or electronic. Despite the efforts by the government and healthcare institutions in the middle- and low-income countries in implementing various technologies including several Health Information Systems, healthcare facilities have been facing several challenges when it comes to decision making by the health workers. The study underlines the landscape of tools and techniques for decision making in the healthcare. Methods: The study was carried out in the Dar Es Salam city of Tanzania. An interpretive qualitative study design was used. In-depth interviews were conducted among healthcare stakeholders including, pharmacists, medical doctors, clinical officers, nurses, managers and receptionists. The interviews targeted to gain a deeper understanding from stakeholders regarding tools and techniques used by healthcare workers for decision making. Results: Many among the tools that many healthcare workers in Tanzania use are manual tools that include clinical guidelines, ICD, HMIS (MTUHA) and some computerized HMIS. Moreover, it has been noted that healthcare workers face a number of challenges when using the tools. Despite the resolutions that clinicians have as solutions to the existing disturbances, challenges still existed. Conclusion: There are several implications that can be drawn from this study to be of interest to the practitioner sand researcher communities towards improving decision-making practices in healthcare. Further research may be required to examine antecedents of adopting modern tools and techniques for decision making in healthcare, and this would be helpful in providing novel insights to the concerned stakeholders.