Harnessing DevOps and Microservices for Scalable Teleconsultation — A Case Study on Healthcare Information Management System (HIMS) at USTP

  • Alex L. Maureal College of Engineering and Architecture, University of Science and Technology of Southern Philippines – Cagayan de Oro, Cagayan de Oro City, 9000 Philippines
  • Maria Angeles Dano-Hinosolango College of Science and Technology Education, University of Science and Technology of Southern Philippines – Cagayan de Oro, Cagayan de Oro City, 9000 Philippines
  • Tito M. Mariquit College of Science and Technology Education, University of Science and Technology of Southern Philippines – Cagayan de Oro, Cagayan de Oro City, 9000 Philippines
  • Franch Maverick A. Lorilla College of Technology, University of Science and Technology of Southern Philippines – Cagayan de Oro, Cagayan de Oro City, 9000 Philippines
Keywords: Healthcare Information Management System, COVID-19 monitoring, teleconsultation, digital health records, real-time case tracking

Abstract

The Healthcare Information Management System (HIMS) was developed and implemented at the University of Science and Technology of Southern Philippines (USTP) to enhance healthcare accessibility, operational efficiency, and scalability. Leveraging the Technology Acceptance Model (TAM), DevOps practices, and Microservices architecture, the system features real-time teleconsultation, electronic documentation, and a Personal Health Record (PHR) module. HIMS facilitated 12,164 teleconsultations during deployment, comprising 8,294 physical and 3,870 virtual appointments. It achieved widespread adoption, with 12,164 registered users (8,854 students and 3,310 employees) and significant operational improvements, including a 70% reduction in record retrieval times. Performance metrics such as 99.9% uptime and <1-second response times validated its reliability. User feedback indicated high satisfaction, with 92% finding the system user-friendly. These results demonstrate HIMS' potential as a scalable, user-centered healthcare solution for academic and public institutions. Future directions include the integration of artificial intelligence for predictive analytics and exploring nationwide implementation to support broader healthcare delivery objectives.

Published
2025-01-12