International Journal of Fuzzy Logic and Intelligent Systems 2024; 24(3): 295-305
Published online September 25, 2024
https://doi.org/10.5391/IJFIS.2024.24.3.295
© The Korean Institute of Intelligent Systems
Marvy Badr Monir Mansour, Amr Ayman, and Marwan Yehia
Department of Electrical Engineering, The British University in Egypt, Cairo, Egypt
Correspondence to :
Marvy Badr Monir Mansour (marvy.badr@bue.edu.eg)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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.
Keywords: E-healthcare services, Embedded systems and sensors, Internet of Medical Things, Mobile telemedicine services, Telemonitoring systems
No potential conflict of interest relevant to this article was reported.
International Journal of Fuzzy Logic and Intelligent Systems 2024; 24(3): 295-305
Published online September 25, 2024 https://doi.org/10.5391/IJFIS.2024.24.3.295
Copyright © The Korean Institute of Intelligent Systems.
Marvy Badr Monir Mansour, Amr Ayman, and Marwan Yehia
Department of Electrical Engineering, The British University in Egypt, Cairo, Egypt
Correspondence to:Marvy Badr Monir Mansour (marvy.badr@bue.edu.eg)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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.
Keywords: E-healthcare services, Embedded systems and sensors, Internet of Medical Things, Mobile telemedicine services, Telemonitoring systems
Flow-diagram of the proposed system.
Abstract user interaction flowchart.
OLED readings.
File run.
WEBRUN.bat terminal.
Website homepage.
Setup page.
Live readings.
User’s dashboard.
Test phase for the system.
Early experiments on breadboard.
Schematic layout of system.
PCB layout.
Exterior view of final PCB.
Interior view of final PCB.
Database tables present in system.
Tables of (a) tbl_devices and (b) tbl_users.
Readings obtained and stored in table of tbl_readings.
Terminal output.
Device data readings.
Figure A.1. Arduino code for reading output.
Figure A.2. Python code for inserting readings to the database.
Figure A.3. Terminal output code.
Flow-diagram of the proposed system.
|@|~(^,^)~|@|Abstract user interaction flowchart.
|@|~(^,^)~|@|OLED readings.
|@|~(^,^)~|@|File run.
|@|~(^,^)~|@|WEBRUN.bat terminal.
|@|~(^,^)~|@|Website homepage.
|@|~(^,^)~|@|Setup page.
|@|~(^,^)~|@|Live readings.
|@|~(^,^)~|@|User’s dashboard.
|@|~(^,^)~|@|Test phase for the system.
|@|~(^,^)~|@|Early experiments on breadboard.
|@|~(^,^)~|@|Schematic layout of system.
|@|~(^,^)~|@|PCB layout.
|@|~(^,^)~|@|Exterior view of final PCB.
|@|~(^,^)~|@|Interior view of final PCB.
|@|~(^,^)~|@|Database tables present in system.
|@|~(^,^)~|@|Tables of (a) tbl_devices and (b) tbl_users.
|@|~(^,^)~|@|Readings obtained and stored in table of tbl_readings.
|@|~(^,^)~|@|Terminal output.
|@|~(^,^)~|@|Device data readings.
|@|~(^,^)~|@|Figure A.1. Arduino code for reading output.
|@|~(^,^)~|@|Figure A.2. Python code for inserting readings to the database.
|@|~(^,^)~|@|Figure A.3. Terminal output code.