Philippine Society for Biomedical Informatics
Empowering Filipino biomedical informaticians through shared knowledge.
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Empowering Filipino biomedical informaticians through shared knowledge.

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Welcome

Welcome to the Philippine Society for Biomedical Informatics (PSBI) Repository on Manuskrito.

Members are invited to submit original articles, reviews, and case studies related to biomedical informatics, health data science, AI in health, and related topics.

Submissions are curated by PSBI’s editorial board and may be featured on the PSBI website and in community newsletters.

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2026 Conference Paper Open Access

Design and Usability Assessment of a Mobile‑Based Vital Signs Tracking System for Routine Student Health Screening in a Philippine University

Jeremy Cruz · Biomedical Informatics

This study describes the development and usability testing of a mobile‑based vital signs tracking system for routine student health screening in a Philippine university setting. The system integrates a simple Android application with a low‑cost digital thermometer, sphygmomanometer, and weighing scale, allowing nursing staff and health‑science students to capture and store vital‑sign data directly into a centralized database. Usability surveys among health‑care providers indicate high satisfaction with data entry speed and clarity of visual dashboards, while data accuracy checks show close agreement with standard manual readings. The platform demonstrates potential as a low‑cost, scalable informatics tool for campus‑based health monitoring and early‑risk detection in the Philippine higher‑education context.

2026 Case Study Open Access

Design and Pilot Evaluation of a Patient‑Reported Data Platform to Support Chronic‑Disease Education in a Community Setting

Mark Villanueva · Biomedical Informatics

This paper describes the design and pilot implementation of a patient‑reported data platform aimed at improving chronic‑disease education in a community health setting in Central Luzon. A mobile‑friendly web form allowed patients to submit self‑reported symptoms, medication adherence, and lifestyle factors, which were then visualized for both patients and community health workers. During the pilot, participants demonstrated improved understanding of their condition and greater engagement in consultations. The study highlights the potential of simple, low‑digital‑literacy‑barrier platforms to bridge informatics and community‑based health education in the Philippines.

2026 Thesis Open Access

Using Teaching‑Learning Analytics and Artificial Intelligence to Improve Student Performance in Biomedical Informatics Courses

Louie Santos · Educational Informatics

This study applies AI‑driven teaching‑learning analytics to identify at‑risk learners and optimize instructional strategies in biomedical informatics courses. Logistic regression and clustering models were trained on quiz scores, attendance, and online activity data to predict final‑exam performance. Instructors then used model‑generated reports to provide targeted interventions, including remedial modules and small‑group sessions. A quasi‑experimental design showed statistically higher pass rates and more equitable learning outcomes in the intervention group, suggesting that AI‑augmented analytics can support inclusive teaching in Philippine higher‑education settings.

2025 Conference Paper Open Access

Feasibility of Simple Digital Health Tools for Medication Management in Rural Primary‑Care Clinics in Central Luzon

Emma Coloma · Health Informatics

This project assesses the feasibility and usability of lightweight digital medication‑management tools among rural primary‑care providers in Central Luzon. A low‑cost, tablet‑based prescription and drug‑interaction checker prototype was deployed in selected barangay health stations. Providers reported improved documentation speed and reduced perceived error rates, but faced challenges related to connectivity and device maintenance. The study concludes that context‑adapted digital tools can support rural practice, provided they are designed with minimal technical requirements and local workflow constraints.

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Call for special issue: “AI in Clinical Decision Support

PSBI invites extended articles on AI‑based clinical decision support systems. Submissions accepted until June 30, 2026. Refer to the Guidelines tab for details.

May 15, 2026
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PSBI members may freely submit works for review. Non‑members may submit works only if co‑authored by a PSBI member or approved by the editorial board.

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