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

Jiyao Yang

European Journal of Business, Economics & Management, 2025, vol. 1, issue 5, 65-72

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.

Keywords: AI-driven eldercare; predictive health analytics; preventive care management; Medicare optimization; gerontechnology; chronic disease management (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:dba:ejbema:v:1:y:2025:i:5:p:65-72

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