Currently accepted at: JMIR Formative Research
Date Submitted: Dec 23, 2025
Open Peer Review Period: Jan 7, 2026 - Mar 4, 2026
Date Accepted: Oct 14, 2026
(closed for review but you can still tweet)
This paper has been accepted and is currently in production.
It will appear shortly on 10.2196/90234
The final accepted version (not copyedited yet) is in this tab.
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Strengthening Primary Care for Diabetes: Building an EHR-Based Quality Dashboard in Argentina
ABSTRACT
Background:
Quality dashboards are essential tools in healthcare, providing integrated and visualized data to support decision-making. Continuous monitoring of key indicators is crucial for managing chronic diseases such as diabetes mellitus and improving outcomes
Objective:
The aim of the study was to develop a web-based quality control dashboard to improve diabetes care in the public primary care setting in Tandil, Argentina
Methods:
The dashboard was embedded into the web-based EHR system of Tandil's Health Information System through a multidisciplinary approach, including literature review, stakeholder consultation, SQL database queries, and data visualization using Apache Superset. Key quality indicators were developed, including patient demographics, comorbidities, and clinical outcomes. Usability was evaluated using the SUS.
Results:
The interactive dashboard enables efficient monitoring of diabetes care through 29 process and outcome indicators. It facilitates real-time tracking of key metrics such as HbA1c testing rates, blood pressure control, and medication withdrawal, allowing for the identification of care gaps and disparities. The dashboard provides intuitive visualizations that support resource allocation, quality of care, and evidence-based policy development, with a mean SUS score of 78.7, suggesting high usability.
Conclusions:
This dashboard is a development in harnessing health information for the advancement of diabetes management in resource-stressed settings.
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.