Leveraging Health Data Analytics for Improving Aging Populations’ Healthcare: A Conceptual Framework

ABSTRACT

The rapid growth of aging populations worldwide presents significant challenges for healthcare systems, particularly in managing chronic diseases and ensuring continuous, personalized care. This review explores the potential of health data analytics to enhance the quality and efficiency of elderly healthcare through a conceptual framework. By leveraging data from electronic health records, wearable devices, and patient-reported outcomes, health data analytics can support early detection, personalized treatment, and improved care coordination for older adults. The framework highlights the role of predictive analytics in transforming elderly care by enabling more proactive interventions and better resource allocation. It also emphasizes the need for integration between data-driven technologies and healthcare systems to optimize delivery and outcomes. The paper concludes with recommendations for future research, policy development, and implementation strategies to promote the effective use of health data analytics in elderly care while ensuring privacy, data security, and equitable access.

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WSN 204 (2025) 171-184

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