SynthesisBMC medical informatics and decision making2026
Towards Electronic Medical Record (EMR) utilization in developing countries: a conceptual model based on systematic literature review.
Synthesis in BMC medical informatics and decision making, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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Authors and funding
3 authors.
Funding
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Abstract
backgroundPaper-based medical records remain prevalent in many developing countries, limiting the accuracy and efficiency of healthcare delivery. Electronic Medical Record (EMR) offer significant potential to improve care quality, yet their adoption faces infrastructural, financial, and contextual challenges in resource-limited settings.
methodsA systematic review of five databases was conducted to identify studies on EMR design, development, and implementation. Eligible articles underwent qualitative analysis to identify key components and challenges. These findings were synthesized into a conceptual model, using the System Development Life Cycle (SDLC) as a comprehensive Conceptual map to cover all system phases rather than a linear execution plan.
resultFrom 80 eligible studies, qualitative analysis yielded 204 refined codes, synthesized into a three-layered framework (Foundation, Core Cycle, and Optimization) comprising seven conceptual categories: strategic foundations, system architecture, user experience, interoperability standards, implementation processes, ethical considerations, and emerging technologies. Together, these categories outline the key dimensions of EMR system development in resource-limited settings.
conclusionsThe proposed model offers a constructive and iterative approach for EMR implementation in resource-limited settings. By distinguishing between core necessities and optimization features, the framework allows for a flexible, scalable adoption strategy that addresses local infrastructural constraints better than rigid, linear models.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.