E-Healthcare System Using IoT-Based Wearable Device

E-healthcare services allow patients to receive the healthcare they need while becoming familiar with their local surroundings.In this study, an e-healthcare matching service system was developed to meet these standards, ensuring patients feel confident that the system is accountable for their healthcare needs while also accommodating healthcare travel schedules, practitioners' licenses, and legal requirements.This system takes a comprehensive approach by focusing on the needs of patients rather than solely on the needs of healthcare practitioners or professionals.Specifically, it prioritizes individual patient needs and, rather than overlooking these needs when scheduling conflicts arise, aims to accommodate them as carefully as possible.Finally, we implemented and tested the system, and the results indicate that the model used in this study can enhance medical sustainability and significantly reduce medical costs.

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Publication Details

Journal
International Journal of Fuzzy Logic and Intelligent Systems
Published
2024-09-30
DOI
https://doi.org/10.5391/ijfis.2024.24.3.295
Citations
1
Primary Topic
Smart Systems and Machine Learning
Type
article
Field-Weighted Citation Impact
0.35
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article

E-Healthcare System Using IoT-Based Wearable Device

Badr Monir Mansour Marvy, Amr Ayman, Yehia Marwan
1 citations
International Journal of Fuzzy Logic and Intelligent Systems
Smart Systems and Machine Learning
0.35
article

E-Healthcare System Using IoT-Based Wearable Device

Badr Monir Mansour Marvy, Amr Ayman, Yehia Marwan
article en
1 citations

Abstract

E-healthcare services allow patients to receive the healthcare they need while becoming familiar with their local surroundings.In this study, an e-healthcare matching service system was developed to meet these standards, ensuring patients feel confident that the system is accountable for their healthcare needs while also accommodating healthcare travel schedules, practitioners' licenses, and legal requirements.This system takes a comprehensive approach by focusing on the needs of patients rather than solely on the needs of healthcare practitioners or professionals.Specifically, it prioritizes individual patient needs and, rather than overlooking these needs when scheduling conflicts arise, aims to accommodate them as carefully as possible.Finally, we implemented and tested the system, and the results indicate that the model used in this study can enhance medical sustainability and significantly reduce medical costs.

International Journal of Fuzzy Logic and Intelligent SystemsVol. 24(3)
British University in Egypt (EG)
Affordable and clean energy
Openalex Percentile: Top 38%
Smart Systems and Machine Learning
0.35
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E-Healthcare System Using IoT-Based Wearable Device — Badr Monir Mansour Marvy, Amr Ayman, et al. · International Journal of Fuzzy Logic and Intelligent Systems (2024) | TGRS Research Map | TGRS