UA Clinic System: A Web-Based Health Service Management Platform for the University of the Assumption

This study presents the design, development, and evaluation of the UA Clinic System, a web-based platform developed to modernize healthcare services at the University of the Assumption. Using a mixed-methods approach, qualitative data were collected through surveys and interviews with clinic staff, students, and faculty to identify inefficiencies in manual clinic processes, while quantitative data were gathered using the ISO/IEC 25010 software quality standard and the Technology Acceptance Model (TAM) to evaluate system quality and user acceptance. The system was developed using the Agile Prototyping methodology and includes features such as digital patient registration, secure Electronic Medical Records (EMR), appointment scheduling, inventory monitoring with automated alerts, digital medical certificates, and an AI-powered chatbot called Nursebot. Evaluation results showed “Very High” ratings in terms of reliability, security, usability, and overall user acceptance. The study concludes that the UA Clinic System effectively improves clinic operations by providing a more efficient, secure, and organized healthcare management solution for the university.