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

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.

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