Building an AI-Driven Wellness Platform for the Aging Population: A Case Study of ElderAI Wellness Hub

Abstract

The United States faces an unprecedented demographic and fiscal challenge as its population rapidly ages. By 2060, individuals aged 65 and above will surpass 94 million, representing nearly a quarter of the total population. This demographic shift exerts immense pressure on the Medicare system, which already allocates over 80% of its expenditures to older adults with chronic conditions. To address this dual crisis of health and finance, this study presents ElderAI Wellness Hub, a non-profit, AI-driven digital platform designed to enhance preventive health management, optimize Medicare spending, support caregivers, and integrate telehealth services for aging Americans. Grounded in gerontechnology and AI-based behavioral health management, ElderAI seeks to create a sustainable, equitable model that aligns with Healthy People 2030 and the One Big Beautiful Bill Act (OBBBA) priorities. Employing a mixed-method case study and policy analysis, this paper evaluates ElderAI's technical architecture, operational model, and societal impact. The findings indicate that AI-assisted predictive analytics can reduce hospitalization risks by up to 30%, enhance caregiving efficiency, and yield potential national Medicare savings of $10-20 billion over a decade. The research demonstrates both substantial merit and national importance, fulfilling the U.S. National Interest Waiver (NIW) criteria through innovation, fiscal responsibility, and measurable public health outcomes.