Development of Uni-HEALS: Semantic Search and Forecasting-Enhanced University Health Care Management System

This study presents the development of Uni-HEALS: a Semantic Search and Forecasting-Enhanced University Health Care Management System aimed at improving efficiency, accessibility, and decision-making in university health services. Conventional health care systems in academic institutions often suffer from fragmented records, limited retrieval capabilities, and the absence of predictive analytics for service planning. To address these challenges, UNI-HEALS was designed and developed using the Agile methodology and evaluated during a pilot deployment at NEUST University's health clinic – Sumacab Campus - to define the study's scope and operational context clearly. IT experts assessed system quality and end users using the ISO/IEC 25010 Software Product Quality Model, and end users also evaluated the system's acceptability. Quantitative results revealed that IT experts rated the system with a grand mean of 3.59, verbally interpreted as an Excellent Quality System, indicating that Uni-HEALS meets and exceeds the required software quality standards. End-users similarly assessed the system with a grand mean of 3.64, indicating Excellent Quality and high satisfaction with performance, effectiveness, and ease of use. Moreover, the system's acceptability had an overall mean of 3.70, interpreted as Highly Acceptable, demonstrating that Uni-HEALS met all acceptability criteria and showed no significant weaknesses during implementation. In addition to performance metrics, a comprehensive cost-benefit analysis was conducted to evaluate the feasibility of system deployment, including hardware and software. These findings confirm that the system consistently satisfied both technical and user requirements, supporting its viability for enhancing health care management and decision support in university clinic environments and contributing to innovative campus health system initiatives and practicality.