Doctor-Patient Queue for Emergency Contact Appointment Registration
Doctor-Patient Queue for Emergency Contact Appointment Registration
|© 2023 by IJETT Journal|
|Year of Publication : 2023|
|Author : Abdulrahman Alkandari, Mohammed Alahmad, Nayfa almutairi, Mustafa Ali Abuzaraida, Danah AlMansou
|DOI : 10.14445/22315381/IJETT-V71I1P217|
How to Cite?
Abdulrahman Alkandari, Mohammed Alahmad, Nayfa almutairi, Mustafa Ali Abuzaraida, Danah AlMansou, "Doctor-Patient Queue for Emergency Contact Appointment Registration," International Journal of Engineering Trends and Technology, vol. 71, no. 1, pp. 189-200, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I1P217
Mobile health applications (mHealth) are instantly and easily accessible to ordinary users of mobile devices, so mHealth applications can improve healthcare services availability and the ability to communicate information easily and quickly. Our proposed application scope contains all hospitals, a list of private doctor's clinics with their addresses on Google Maps and contact information, and an appointment booking service. Besides, the application will contain tips for pregnant women throughout pregnancy and the necessary information about what to do in each month of pregnancy with the service of knowing the date of delivery. The application used many algorithms techniques for searching like a linear search algorithm, selection sort algorithm, Queue, and Stack.
Cuckoo Search Algorithm (CS), Patient compliance, Bat Algorithm (BA), Smartphone, IoT.
 Jamila Arrish, Heather Yeatman, and Moira Williamson, “Midwives and Nutrition Education During Pregnancy: A Literature Review,” Women and Birth, vol. 27, no. 1, pp. 2-8, 2014. Crossref, http://doi.org/10.1016/j.wombi.2013.02.003
 Manuel Carballo et al., “Infant and Young Child Feeding Patterns in Kuwait: Results of Across-Sectional Survey,” Public Health Nutrition, vol. 20, no. 12, pp. 2201–2207, 2017. Crossref, http://doi.org/10.1017/S1368980017001094
 Abdullah Albassam, and Abdelmoneim Awad, “Community Pharmacists’ Services for Women During Pregnancy and Breast Feeding in Kuwait: A Cross-Sectional Study,” BMJ Open, vol. 8, p. e018980, 2018. Crossref, http://doi.org/10.1136/bmjopen-2017-018980
 Loannis E. Chaniotakis, and Constantine Lymperopoulos, “Service Quality Effect on Satisfaction and Word of Mouth in the Health Care Industry,” Managing Service Quality: An International Journal, vol. 19, no. 2, pp. 229-242, 2009. Crossref, http://doi.org/10.1108/09604520910943206
 Akila Ganesh et al., “A Survey on Dental Knowledge and Gingival Health of Pregnant Women Attending Government Maternity Hospital, Chennai,” Journal of Oral Health Community Dentistry, vol. 5, no. 1, pp. 24-30, 2011.
 Anam Feroz, Shagufta Perveen, and Wafa Aftab, “Role of mHealth Applications for Improving Antenatal and Postnatal Care in Low and Middle Income Countries: A Systematic Review,” BMC Health Services Research, vol. 17, no. 1, p. 704, 2017. Crossref, http://doi.org/10.1186/s12913-017-2664-7
 S. Sakthivel Padaiyatchi, and S. Jaya, "Hybrid Bat Optimization Algorithm Applied to Optimal Reactive Power Dispatch Problems," SSRG International Journal of Electrical and Electronics Engineering, vol. 9, no. 1, pp. 1-5, 2022. Crossref, https://doi.org/10.14445/23488379/IJEEE-V9I1P101
 Lívia Oliveira-Ciabati et al., “PRENACEL - A Mhealth Messaging System to Complement Antenatal Care: A Cluster Randomized Trial,” Reproductive Health, vol. 14, p. 146, 2017. Crossref, https://doi.org/10.1186/s12978-017-0407-1
 Valerie Altmann, and Maike Gries, “Factors Influencing the Usage Intention of mHealth Apps: An Empirical Study on the Example of Sweden,” Karlstad University, 2017.
 Elena A. Aksenova, and Andrew V. Sokolov, “Optimal Implementation of Two FIFO-Queues in Single-Level Memory,” Applied Mathematics, vol. 2, no. 10, pp. 1297-1302, 2011. Crossref, https://doi.org/10.4236/am.2011.210180
 Majid Khodier, “Optimisation of Antenna Arrays Using The Cuckoo Search Algorithm,” The Institution of Engineering and Technology, vol. 7, no. 6, pp. 458–464, 2013. Crossref, https://doi.org/10.1049/iet-map.2012.0692
 Xin-She Yang, and Amir H. Gandomi, “Bat Algorithm: A Novel Approach for Global Engineering Optimization,” Engineering Computations, vol. 29, no. 5, pp. 464-483, 2012. Crossref, https://doi.org/10.1108/02644401211235834
 Kuan-Chieh Liao, “A Novel User Authentication Scheme Based on QR-Code,” Journal of Networks, vol. 5, no. 8, pp. 937-941, 2010.
 Panagiotis Tsinganos, and Athanassios Skodras, “A Smartphone-based Fall Detection System for the Elderly,” MSc Thesis, BME Course, University of Patras, Patras, 2017.
 Shubhi Kulshrestha, and Ankur Goyal, "Cuckoo Search Algorithm and BF Tree Used for Anomaly Detection in Data Mining," International Journal of Computer and Organization Trends, vol. 9, no. 4, pp. 11-18, 2019. Crossref, https://doi.org/10.14445/22492593/IJCOT-V9I4P303
 Francesca Stradolini et al., “IoT for Telemedicine Practices enabled by an Android Application with Cloud System Integration,” IEEE International Symposium on Circuits and Systems, pp. 1-5, 2018. Crossref, https://doi.org/10.1109/ISCAS.2018.8351871
 Ilias Maglogiannis et al., “Mobile Reminder System for Furthering Patient Adherence Utilizing Commodity Smartwatch and Android Devices,” IEEE, 2014 4th International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH), pp. 124-127, 2014. Crossref, https://doi.org/10.1109/MOBIHEALTH.2014.7015925
 S J Elliot et al., "A Predictive Model for Cloud Computing Security in Banking Sector Using Levenberg Marquardt Back Propagation with Cuckoo Search," SSRG International Journal of Computer Science and Engineering, vol. 7, no. 2, pp. 42-47, 2020. Crossref, https://doi.org/10.14445/23488387/IJCSE-V7I2P105
 Isak Shabani, Besmir Sejdiu, and Fatushe Jasharaj, "Consuming Web Services on Android Mobile Platform for Finding Parking Lots," International Journal of Advanced Computer Science and Applications, vol. 6, no. 2, pp. 175-180, 2015. Crossref, http://dx.doi.org/10.14569/IJACSA.2015.060225
 Solomon Shiferaw et al., “Designing mHealth for Maternity Services in Primary Health Facilities in a Low-Income Setting-Lessons from a Partially Successful Implementation,” BMC Medical Informatics and Decision Making, vol. 18, p. 96, 2018. Crossref, https://doi.org/10.1186/s12911-018-0704-9
 Mohammad Javad Abbasi, and Mehrdad Mohri, "Scheduling Tasks in the Cloud Computing Environment with the Effect of Cuckoo Optimization Algorithm," SSRG International Journal of Computer Science and Engineering, vol. 3, no. 8, pp. 1-9, 2016. Crossref, https://doi.org/10.14445/23488387/IJCSE-V3I8P101
 M J C Samonte et al., “InTelect: Interactive Telemedicine Communication Technologies Mobile App,” Materials Science and Engineering Conference Series, vol. 482, no. 1, p. 12022, 2019. Crossref, https://doi.org/10.1088/1757-899X/482/1/012022
 Ekwonwune Emmanuel Nwabueze, and Onuoha Oju, “Using Mobile Application to Improve Doctor-Patient Interaction in Healthcare Delivery System,” E-Health Telecommunication Systems and Networks, vol. 8, pp. 23-34, 2019. Crossref, https://doi.org/10.4236/etsn.2019.83003
 Shyam Sunder Pabboju, and Adilakshmi Thondepu, "Effective Task Scheduling in Cloud Computing using Improved BAT Algorithm," International Journal of Engineering Trends and Technology, vol. 70, no. 10, pp. 271-276, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I10P226
 Huan Chen et al., “Effectiveness and Appropriateness of mHealth Interventions for Maternal and Child Health: A Systematic Review,” JMIR Mhealth Uhealth, vol. 6, no. 1, p. e7, 2018. Crossref, https://doi.org/10.2196/mhealth.8998
 Muzammil Hussain et al., “Conceptual Framework for the Security of Mobile Health Applications on Android Platform,” Telematics and Informatics, vol. 35, no. 5, pp. 1335-1354, 2018. Crossref, https://doi.org/10.1016/j.tele.2018.03.005
 Imam Riadi, Sri Winiarti, and Herman Yuliansyah, “Development and Evaluation of Android Based Notification System to Determine Patient's Medicine for Pharmaceutical Clinic,” 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), pp. 1-5, 2017. Crossref, https://doi.org/10.1109/EECSI.2017.8239155
 D. Mavaluru, M. A. Mohamed, and A. Bakhamis, “Retracted: Location Based Mobile App for Doctor’s Appointment in Saudi Arabia with Supervised Learning Prediction,” Journal of Fundamental and Applied Sciences, vol. 10, pp. 1987-2002, 2018.