Revolutionizing decision support: a systematic literature review of contextual implementation models for electronic health records systems

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dc.contributor.authorMwogosi, Augustino
dc.contributor.authorShao, Deo
dc.contributor.authorKibusi, Stephen
dc.contributor.authorKapologwe, Ntuli
dc.date.accessioned2024-09-09T10:16:38Z
dc.date.available2024-09-09T10:16:38Z
dc.date.issued2024
dc.descriptionAbstract. Full text available at: https://doi.org/10.1108/JHOM-04-2023-0122
dc.description.abstractPurpose 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.
dc.identifier.citationMwogosi, A., Shao, D., Kibusi, S., & Kapologwe, N. (2024). Revolutionizing decision support: a systematic literature review of contextual implementation models for electronic health records systems. Journal of Health Organization and Management, 38(3), 372-388.
dc.identifier.doi10.1108/jhom-04-2023-0122
dc.identifier.otherDOI: https://doi.org/10.1108/JHOM-04-2023-0122
dc.identifier.urihttps://repository.udom.ac.tz/handle/20.500.12661/4946
dc.language.isoen
dc.publisherEmerald
dc.relation.ispartofJournal of Health Organization and Management
dc.subjectElectronic health records system
dc.subjectDecision support
dc.subjectContextual models
dc.subjectImplementation
dc.subjectHealthcare
dc.titleRevolutionizing decision support: a systematic literature review of contextual implementation models for electronic health records systems
dc.typeArticle
oaire.citation.issue3
oaire.citation.volume38
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