Design Experimentation in Diabetes Data Visualization: Insights from a Systematic Literature Review

This paper proposes a user-centered framework for the design of interactive systems focused on chronic disease management, using diabetes as a case study. Using an iterative methodology, a high-fidelity, navigable prototype was built and evaluated, incorporating principles of accessibility, readability, and user experience. Validation using the SUS and CSUQ questionnaires demonstrated positive perceptions of usability and information clarity. Furthermore, key challenges such as visual accessibility and real-time data integration were explored, along with technological opportunities derived from IoT devices and artificial intelligence. Finally, future lines of work are proposed, aimed at the functional development of the system, its longitudinal validation with real users, and its expansion to other chronic diseases. The proposed framework offers a replicable and scalable basis for the ethical design of digital healthcare solutions.

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Publication Details

Journal
Programming and Computer Software
Published
2025-12-01
DOI
https://doi.org/10.1134/s0361768825010013
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
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article

Design Experimentation in Diabetes Data Visualization: Insights from a Systematic Literature Review

Luis G. Montané-Jiménez, Emilio-Antonio Alarcón-Santos, José Guillermo Hernández-Calderón, David-Enrique Hernández-Calderón
Programming and Computer Software
Data Visualization and Analytics
article

Design Experimentation in Diabetes Data Visualization: Insights from a Systematic Literature Review

Luis G. Montané-Jiménez, Emilio-Antonio Alarcón-Santos, José Guillermo Hernández-Calderón, David-Enrique Hernández-Calderón
article en

Abstract

This paper proposes a user-centered framework for the design of interactive systems focused on chronic disease management, using diabetes as a case study. Using an iterative methodology, a high-fidelity, navigable prototype was built and evaluated, incorporating principles of accessibility, readability, and user experience. Validation using the SUS and CSUQ questionnaires demonstrated positive perceptions of usability and information clarity. Furthermore, key challenges such as visual accessibility and real-time data integration were explored, along with technological opportunities derived from IoT devices and artificial intelligence. Finally, future lines of work are proposed, aimed at the functional development of the system, its longitudinal validation with real users, and its expansion to other chronic diseases. The proposed framework offers a replicable and scalable basis for the ethical design of digital healthcare solutions.

Programming and Computer SoftwareVol. 51(8)
Universidad Veracruzana (MX), Universidad Autónoma de Baja California (MX)
Openalex Percentile: Top 26%
Data Visualization and Analytics
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