Development of Online Prenatal Appointment System for St. Paul Hospital

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Authors: Ian Christian Lagradilla, Regei Lomo- ay, Alexa Lonon, Richelyn Macalos, Ma. Claudette Pearl Monredondo, Kent Daniel Ytang, Ma Geleen O. Eduave
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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.

Fields of Study & Subjects

Healthcare Operations and Scheduling Optimization Electronic Health Records Systems Hospital Admissions and Outcomes

Publication details

Journal / source
International Journal of Innovative Science and Research Technology (IJISRT)
Pages
2367–2367
Publication date
5 January 2026