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S2DIA: a diagnostic system for Diabetes mellitus using SANA platform
Clayton M Costa1, Dikson D Gondim, Dibson D Gondim
1Laboratory of software engineering of the Universidade do Estado do Rio Grande do Norte (UERN) Mossoro, RN, Brazil. c1aytonmaciel@gmail.com
Summary
Diabetes is a growing global health concern. A new system, S2DIA, leverages the SANA platform for early type 2 Diabetes risk assessment, particularly in underserved regions.
Area of Science:
- Medical Informatics
- Public Health
- Digital Health
Background:
- Diabetes prevalence is rapidly increasing globally due to lifestyle changes and an aging population.
- The SANA platform, developed by MIT, integrates information technology into healthcare for remote and improved patient services.
- Existing healthcare access challenges necessitate innovative solutions for timely diagnosis and intervention.
Purpose of the Study:
- To introduce S2DIA, a novel system for Diabetes diagnosis.
- To utilize the SANA platform for enhanced healthcare delivery in remote areas.
- To assess the risk factors for type 2 Diabetes, focusing on underserved populations.
Main Methods:
- Development of the S2DIA system integrated with the SANA platform.
- Leveraging information technology for remote healthcare access and specialist consultation.
- Focus on evaluating the system's efficacy in resource-limited settings in Brazil.
Main Results:
- The S2DIA system represents a foundational step in identifying type 2 Diabetes risks.
- The SANA platform facilitates improved access to diagnostic capabilities.
- The system is designed for evaluation in remote and underserved areas.
Conclusions:
- S2DIA, using the SANA platform, offers a promising approach to Diabetes diagnosis.
- The system aims to improve healthcare accessibility and quality for Diabetes risk assessment.
- Further evaluation in diverse, remote settings like Brazil is crucial for validating its impact.
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