Integrating Artificial Intelligence into Senior Healthcare: Innovation, Policy Alignment, and Impact of the ElderAI Wellness Hub

Jiyao Yang

doi:10.71222/0tmwbg17

Authors

Jiyao Yang University of Southern California, Los Angeles, USA Author

DOI:

https://doi.org/10.71222/0tmwbg17

Keywords:

aging population, artificial intelligence, gerontechnology, Medicare optimization, preventive health, policy innovation, public health equity

Abstract

The United States is undergoing a profound demographic transformation characterized by a rapid increase in its aging population, which presents significant challenges to the fiscal sustainability of Medicare and the broader national healthcare system. The integration of Artificial Intelligence (AI) with gerontechnology provides innovative opportunities to enhance preventive healthcare, streamline resource allocation, and empower older adults to actively manage their own well-being. This study offers a comprehensive analysis of the ElderAI Wellness Hub, an AI-driven, nonprofit digital health platform designed to combine predictive analytics, cost optimization, and caregiver support within a framework consistent with contemporary U.S. healthcare policies, including initiatives such as the One Big Beautiful Bill Act (OBBBA) and Healthy People 2030. Employing a mixed-method approach that merges quantitative modeling with qualitative policy assessment, the research evaluates the platform's impacts on health outcomes, economic efficiency, and social engagement among older populations. Findings demonstrate that ElderAI contributes to measurable improvements in patient health metrics, reductions in Medicare expenditures, and increased accessibility to technology-enabled care, while also promoting ethical AI governance and digital equity in geriatric services. By situating technological innovation within a policy-aligned context, this study highlights how AI-driven solutions can not only enhance the quality of care for aging individuals but also support the long-term sustainability of national healthcare systems. The results provide valuable insights for healthcare policymakers, technology developers, and social service providers seeking to design scalable, ethically responsible digital health interventions for older adults.

References

1. H. B. Brotman, "A profile of the older American (No. 228)," US Department of Health, Education, and Welfare, Administration on Aging, Social and Rehabilitation Service, 1968.

2. K. R. Levit, H. C. Lazenby, B. R. Braden, C. A. Cowan, A. L. Sensenig, P. A. McDonnell, and M. W. Stewart, "National health expenditures, 1996," Health Care Financing Review, vol. 19, no. 1, p. 161, 1997.

3. J. M. Beer, and O. L. Owens, "Using Gerontology Theory to Guide the Development of Artificial Intelligence to Support Aging-in-Place," In Proceedings of the AAAI Symposium Series, November, 2024, pp. 123-129. doi: 10.1609/aaaiss.v4i1.31782

4. R. I. Stone, "Factors affecting the future of family caregiving in the United States," In Family caregiving in the new normal, 2015, pp. 57-77. doi: 10.1016/b978-0-12-417046-9.00006-4

5. M. Shkilniak, T. Zheliuk, A. Vasina, O. Dudkina, T. Popovych, and O. Ovsianiuk-Berdadina, "The modernization of healthcare management in the context of healthcare reform implementation," Herald of Economics, vol. 4, no. 90, pp. 168-180, 2018.

6. L. Parra-Rodríguez, E. D. Reyes-Ramírez, and A. I. Pérez-Sanpablo, "Gerontechnology," In Aging Research-Methodological Issues, 2024, pp. 197-210. doi: 10.1007/978-3-031-76469-1_14

7. S. Hossain, A. Ahmed, U. Khadka, S. Sarkar, and N. Khan, "AI-driven predictive analytics, healthcare outcomes, cost reduction, machine learning, patient monitoring," AIJMR-Advanced International Journal of Multidisciplinary Research, vol. 2, no. 5, 2024.

8. B. P. Giroir, "Healthy people 2030: A call to action to lead America to healthier lives," Journal of Public Health Management and Practice, vol. 27, no. Supplement 6, pp. S222-S224, 2021. doi: 10.1097/phh.0000000000001266

9. H. Van Kolfschooten, "The AI cycle of health inequity and digital ageism: mitigating biases through the EU regulatory framework on medical devices," Journal of Law and the Biosciences, vol. 10, no. 2, p. lsad031, 2023.

10. W. H. O. Guidance, "Ethics and governance of artificial intelligence for health," World Health Organization, pp. 1-165, 2021.