An Intelligent Data Platform for Older Adults Health Monitoring Using Wearable Technologies
TL;DR
A proposal for an integrated data platform aimed at monitoring elderly health through wearable devices that comprises biometric sensors, secure wireless connectivity, intelligent data processing using machine learning algorithms, and interactive dashboards for decision-making is presented.
Abstract
The aging of the global population has intensified the demand for innovative and sustainable healthcare strategies. Wearable technologies stand out as a promising alternative to enable real-time monitoring, early detection of clinical changes, and the promotion of autonomy and well-being among the older adults. This study presents a proposal for an integrated data platform aimed at monitoring elderly health through wearable devices. The proposed architecture comprises biometric sensors, secure wireless connectivity, intelligent data processing using machine learning algorithms, and interactive dashboards for decision-making. Through a comprehensive literature review and analysis of current applications, the platform was designed to ensure interoperability with healthcare systems, compliance with data protection laws, and usability for older adults. The results point to the potential of wearable technologies to support preventive, personalized, and population-based care models. Future challenges include issues of data integration, user acceptance, cost-effectiveness, and regulatory frameworks. The implementation of such platforms may contribute significantly to transforming the current healthcare model into a more inclusive, proactive, and data-driven system.