Balancing Artificial Intelligence Advancements and Patient Data Privacy in Philippine Healthcare: A Review of Literature

Artificial intelligence (AI) is transforming healthcare worldwide, yet its integration raises critical concerns regarding patient privacy and ethical use, particularly in developing countries like the Philippines. This study aims to analyze the intersection of AI innovation and patient privacy in the Philippine healthcare system through a thematic literature review A total of 21 peer-reviewed sources published between 2017 and 2024 were analyzed thematically. Four dominant focus areas were identified: AI applications in healthcare, cybersecurity and privacy, integration of emerging technologies, and explainable and ethical AI. The literature predominantly emphasizes theoretical models, with limited practical deployment. Significant gaps exist in implementation, data governance, ethical alignment, and infrastructure adaptation, particularly in applying global AI frameworks to local contexts. This review highlights the need for localized pilot programs, culturally relevant ethical standards, and improved cybersecurity systems. These insights inform national policy and offer actionable guidance for responsible AI integration in Philippine healthcare.

Authors

Institutions

Publication Details

Published
2025-08-04
DOI
https://doi.org/10.1109/icscsa66339.2025.11170964
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Balancing Artificial Intelligence Advancements and Patient Data Privacy in Philippine Healthcare: A Review of Literature

James Cloyd M. Bustillo, Gretel T. Ricalde, Jelly Grace Caw-It
Artificial Intelligence in Healthcare and Education
article

Balancing Artificial Intelligence Advancements and Patient Data Privacy in Philippine Healthcare: A Review of Literature

James Cloyd M. Bustillo, Gretel T. Ricalde, Jelly Grace Caw-It
article en

Abstract

Artificial intelligence (AI) is transforming healthcare worldwide, yet its integration raises critical concerns regarding patient privacy and ethical use, particularly in developing countries like the Philippines. This study aims to analyze the intersection of AI innovation and patient privacy in the Philippine healthcare system through a thematic literature review A total of 21 peer-reviewed sources published between 2017 and 2024 were analyzed thematically. Four dominant focus areas were identified: AI applications in healthcare, cybersecurity and privacy, integration of emerging technologies, and explainable and ethical AI. The literature predominantly emphasizes theoretical models, with limited practical deployment. Significant gaps exist in implementation, data governance, ethical alignment, and infrastructure adaptation, particularly in applying global AI frameworks to local contexts. This review highlights the need for localized pilot programs, culturally relevant ethical standards, and improved cybersecurity systems. These insights inform national policy and offer actionable guidance for responsible AI integration in Philippine healthcare.

University of Science and Technology of Southern Philippines (PH), Caraga State University (PH)
Openalex Percentile: Top 81%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Balancing Artificial Intelligence Advancements and Patient Data Privacy in Philippine Healthcare: A Review of Literature — James Cloyd M. Bustillo, Gretel T. Ricalde, et al. · (2025) | TGRS Research Map | TGRS