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http://dx.doi.org/10.25673/121715| Titel: | Design and Implementation of an IoT-Based Patient Monitoring System for Chronic Diseases in Iraqi Hospitals |
| Autor(en): | Abdallah, Ghada Farhan |
| Körperschaft: | Hochschule Anhalt |
| Erscheinungsdatum: | 2025 |
| Umfang: | 1 Online-Ressouce (8 Seiten) |
| Sprache: | Englisch |
| Zusammenfassung: | Existing diabetes management systems frequently contend with limitations such as dispersed data capture, delayed clinician notifications, and inadequate patient engagement, impeding efficient real-time monitoring and timely medical interventions. This paper aims to design and implement an Internet of Things (IoT)-based diabetic care system that integrates biosensors, web technologies, and a centralized database to enable real-time glucose monitoring for effective patient care. The methodology involves leveraging smart sensors and web technologies to facilitate continuous glucose tracking and remote patient care, enabling doctors and caregivers to access accurate, real-time information for improved clinical decision-making. Validation trials conducted at Al-Dhuluiyah General Hospital demonstrated notable improvements, including diagnostic precision with a margin of error under 2%, response times less than 5 seconds, and a 30% reduction in manual monitoring burdens, alongside verified usability. In conclusion, this IoT-based system effectively addresses critical healthcare gaps and highlights the transformative potential of IoT in the management of chronic diseases, particularly in resource-constrained environments. |
| URI: | https://opendata.uni-halle.de//handle/1981185920/123667 http://dx.doi.org/10.25673/121715 |
| Open-Access: | Open-Access-Publikation |
| Nutzungslizenz: | (CC BY-SA 4.0) Creative Commons Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International |
| Enthalten in den Sammlungen: | International Conference on Applied Innovations in IT (ICAIIT) |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 1-3-ICAIIT_2025_13(4).pdf | 898.17 kB | Adobe PDF | ![]() Öffnen/Anzeigen |
Open-Access-Publikation
