SMS I: AI-ASSISTED DIAGNOSIS AND QR CODE INTEGRATION FOR STREAMLINED CLINIC MANAGEMENT SYSTEM AT BESTLINK COLLEGE OF THE PHILIPPINES

Authors

  • Joseph Oliver Banac
  • Angelo Abargos
  • Lister John Evangelista
  • Ariel Forcado
  • Andiella Mhae Gabad
  • Mr. Roland Roldan

Keywords:

clinic management system, ai-assisted diagnosis, qr code integration, healthcare technology, patient records, agile scrum, educational institutions, digital transformation

Abstract

Traditional methods of managing patient records and generating reports in school clinics often result in inefficiencies, delays, and suboptimal patient care. This capstone project, titled SMS I: AI-Assisted Diagnosis and QR Code Integration for a Streamlined Clinic Management System at Bestlink College of the Philippines, aims to address these challenges by integrating artificial intelligence (AI) for diagnostic assistance and QR code technology for efficient data access. The system is designed to deliver accurate, fast, and effective healthcare services within the academic setting. The system was developed using the Agile Scrum methodology, which allows for flexible, iterative development and ongoing stakeholder feedback. The project focused on three core objectives: (1) to establish an all-in-one clinic management system, (2) to improve diagnostic accuracy through AI assistance, and (3) to integrate QR code functionality for quick and secure retrieval of patient data. The system successfully combined AI-powered analysis with QR code integration to enhance clinical efficiency. The AI module assisted in analyzing patient data to support healthcare decisions, while the QR code system enabled real-time, accurate access to patient records. Usability and functionality tests confirmed that the system met its intended objectives, resulting in streamlined operations and improved quality of care in the clinic setting. The implementation of SMS I addressed key issues associated with outdated healthcare management systems by adopting advanced digital technologies. AI enhanced the accuracy of clinical diagnoses, and QR codes ensured quick and secure data retrieval. The system’s deployment demonstrated how digital transformation can elevate healthcare operations within academic institutions. It also serves as a model for future innovations aimed at improving healthcare management in educational environments.

Published

2026-01-13

How to Cite

SMS I: AI-ASSISTED DIAGNOSIS AND QR CODE INTEGRATION FOR STREAMLINED CLINIC MANAGEMENT SYSTEM AT BESTLINK COLLEGE OF THE PHILIPPINES. (2026). Ascendens Asia Singapore – Bestlink College of the Philippines Journal of Multidisciplinary Research, 7(1). https://ojs.aaresearchindex.com/index.php/aasgbcpjmra/article/view/15915

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