Authors :
Ian Christian Lagradilla; Regei Lomo-ay; Alexa Lonon; Richelyn Macalos; Ma. Claudette Pearl Monredondo; Kent Daniel Ytang; Ma. Geleen Eduave
Volume/Issue :
Volume 10 - 2025, Issue 12 - December
Google Scholar :
https://tinyurl.com/38zad95p
Scribd :
https://tinyurl.com/358acz55
DOI :
https://doi.org/10.38124/ijisrt/25dec1164
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
This project addressed the problem of slow and unorganized prenatal appointment scheduling at St. Paul Hospital,
where staff used paper forms that caused delays, missing records, and long waiting times. The main goal of the project was
to create a simple online tool that helps the hospital manage high-risk prenatal check-ups in a faster and more organized
way. The group developed a web-based and mobile responsive Online Prenatal Appointment System to help staff schedule
appointments, track patient records, and send reminders. The Waterfall Model was used to guide the development process
step by step, from planning to testing. The system was built using Laravel, PHP, MySQL, HTML, Tailwind CSS, ReacJS
and an SMS API for reminders. The main users are midwives, OPD staff, and administrators. Key features include
appointment scheduling, digital pregnancy tracking forms, patient record management, and automated SMS reminders.
After testing and evaluation, the results showed smoother scheduling, fewer missing records, and better coordination among
staff. Users shared positive feedback, saying the system was easy to follow and made their work more organized. Overall,
the system helped improve prenatal care workflow and showed potential for more features in the future, such as patient
access and offline support.
Keywords :
Prenatal System, Scheduling, SMS Reminders, Laravel, MySQL, Healthcare Records, Waterfall Model.
References :
- R. Ramalingam, S. Kannan, and P. Subramanian, “Mobile healthcare applications and their impact on appointment scheduling efficiency,” International Journal of Healthcare Information Systems, vol. 12, no. 1, pp. 45–53, 2024.
- M. Mark, “Digital appointment scheduling systems in hospitals: Reducing administrative workload and improving patient flow,” Journal of Health Information Management, vol. 18, no. 2, pp. 101–109, 2024.
- S. Chung, J. Lee, and H. Park, “Improving patient access through digital appointment systems in healthcare facilities,” Healthcare Technology Letters, vol. 11, no. 3, pp. 210–217, 2024.
- M. DeNicola, R. Grossman, and A. Marko, “Telehealth interventions and maternal health outcomes: A systematic review,” American Journal of Obstetrics and Gynecology, vol. 223, no. 4, pp. 547–558, 2020.
- R. Rosmani and S. Mokhtar, “Veterinary online appointment booking system using the waterfall model,” Journal of Information Systems Engineering, vol. 9, no. 1, pp. 18–26, 2023.
- L. Loi and M. Abdullah, “Evaluating extended waterfall models in healthcare system development,” International Journal of Software Engineering Applications, vol. 14, no. 2, pp. 33–41, 2023.
- F. Gu, “ReactJS-based dynamic user interfaces for healthcare web applications,” International Journal of Web Development, vol. 7, no. 1, pp. 55–62, 2024.
- A. Subhi, N. Hassan, and M. Khalid, “Secure web application development using Laravel and PHP frameworks,” Journal of Computer Science and Information Security, vol. 21, no. 3, pp. 88–96, 2023.
- S. Stonik, V. Petrov, and L. Ivanov, “MySQL database systems for healthcare record management,” International Journal of Database Systems, vol. 10, no. 2, pp. 64–72, 2023.
10. J. Muhumure, “Usability and reliability testing of healthcare information systems,” African Journal of Health Informatics, vol. 6, no. 1, pp. 12–20, 2024.
This project addressed the problem of slow and unorganized prenatal appointment scheduling at St. Paul Hospital,
where staff used paper forms that caused delays, missing records, and long waiting times. The main goal of the project was
to create a simple online tool that helps the hospital manage high-risk prenatal check-ups in a faster and more organized
way. The group developed a web-based and mobile responsive Online Prenatal Appointment System to help staff schedule
appointments, track patient records, and send reminders. The Waterfall Model was used to guide the development process
step by step, from planning to testing. The system was built using Laravel, PHP, MySQL, HTML, Tailwind CSS, ReacJS
and an SMS API for reminders. The main users are midwives, OPD staff, and administrators. Key features include
appointment scheduling, digital pregnancy tracking forms, patient record management, and automated SMS reminders.
After testing and evaluation, the results showed smoother scheduling, fewer missing records, and better coordination among
staff. Users shared positive feedback, saying the system was easy to follow and made their work more organized. Overall,
the system helped improve prenatal care workflow and showed potential for more features in the future, such as patient
access and offline support.
Keywords :
Prenatal System, Scheduling, SMS Reminders, Laravel, MySQL, Healthcare Records, Waterfall Model.