Harnessing Big Data and Artificial Intelligence for Precision Healthcare in the Industry 5.0 Era

Abstract

In the Industry 5.0 era, the integration of big data and artificial intelligence (AI) will transform precision healthcare—tailor-made medical services from meticulous data analysis. This study explains how Indonesia, Malaysia, and the Philippines are adopting big data and AI in healthcare information systems to deliver precision medicine. A systematic review of the literature on recent research pertaining to healthcare technology and information systems was carried out, with a comparative case study analysis of three nations. The principal objectives are to evaluate the current uses, determine methodological frameworks, and quantify the effectiveness of artificial intelligence and big data projects in these Southeast Asian health systems. Our approach integrates a narrative review with qualitative synthesis of peer-reviewed literature with additional analysis via policy documents and digital health metrics. Results indicate that all three countries are pursuing national digital health initiatives (e.g., Indonesia's interoperability project Satu sehat , Malaysia's pilot AI initiatives in diagnostics, and the Philippines' COVID-19 telemedicine expansion). Big data analytics (genomic, imaging, and EHR data) and AI (machine learning, neural networks) are improving diagnostic certainty and enabling personalized treatment regimens. However, obstacles remain: siloed data systems, lack of interoperability, resource constraints, and workforce training skills gaps hinder the full promise. Statistical analysis of reported outcomes demonstrates improvements in disease surveillance and reduced readmissions where AI solutions were employed. In summary, Industry 5.0's human-centric vision aligns with precision healthcare goals: leveraging the strengths of advanced analytics and clinician expertise to improve patient outcomes. We discuss implications for health information systems and suggest future research on scalable AI solutions, data governance, and cross-border collaboration to facilitate precision health in Southeast Asia.