International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

AI Solutions for Lowering Long-Term Care Expenses and Stimulating US Economic Growth

Author(s) Bhanu Prakash Manjappasetty Masagali
Country United States
Abstract The United States faces significant challenges in long-term care (LTC) due to the aging population, which strains healthcare systems and contributes to rising costs. Simultaneously, the economic implications of an aging population require urgent solutions that not only address healthcare sustainability but also have the potential to stimulate economic growth. Artificial Intelligence (AI) can significantly reduce LTC costs by improving efficiency, quality of care, and resource allocation. Additionally, AI-driven innovations can generate economic benefits, such as job creation in the Technology sector, better workforce productivity, and cost savings that can be reinvested into other parts of the economy. This paper explores how AI can address the economic challenges LTC poses and offers a pathway to boosting the US economy.
Keywords Artificial Intelligence in Healthcare, AI in Long-Term Care, AI Cost Reduction in Healthcare, AI for Elderly Care, AI in Aging Population, Predictive Analytics in Long-Term Care, AI-driven Health Monitoring, Long-Term Care Cost Reduction
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-12-15
Cite This AI Solutions for Lowering Long-Term Care Expenses and Stimulating US Economic Growth - Bhanu Prakash Manjappasetty Masagali - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.33173
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.33173
Short DOI https://doi.org/g8wkh6

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