Research on the Health Economic Burden Compensation Scheme for the Elderly in Multi-Level Medical Security System

Yuqi Liu

doi:10.62051/ijphmr.v3n1.03

Authors

Yuqi Liu

DOI:

https://doi.org/10.62051/ijphmr.v3n1.03

Keywords:

Population aging, Health care for the elderly, Health economic burden, Multi-level health care systems, Predictive models, Machine learning algorithms

Abstract

With the global aging trend, the elderly now bear a significant health economic burden. This study aims to explore effective compensation methods within a multi-tiered healthcare system for this group, focusing on China's aging society and medical security reform. Despite extensive research, gaps remain in elderly-specific compensation mechanisms. Utilizing health economics and a multi-level medical security framework, this study employs advanced techniques (e.g., machine learning) to assess elderly medical needs and costs, proposing scientific compensation strategies. Expected outcomes include reduced out-of-pocket costs, higher reimbursement rates, and broader insurance coverage, supporting policy formulation. The study also analyzes regional, economic impacts on elderly medical expenditures to ensure fair, efficient compensation.

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