1832. Measuring and Optimizing Healthcare Accessibility and Equity for Medical Resources in an Aging Community
Invited abstract in session MA-56: Computational Biology & Healthcare, stream Computational Biology, Bioinformatics and Medicine.
Monday, 8:30-10:00Room: Liberty 1.11
Authors (first author is the speaker)
| 1. | Jingshan Li
|
| Industrial Engineering, Tsinghua University | |
| 2. | Qing Wang
|
| Industrial Engineering, Tsinghua University | |
| 3. | Leqi Weng
|
| Industrial Engineering, Tsinghua University |
Abstract
Healthcare accessibility and equity are crucial in providing public medical services. Enabling fair and quick access to healthcare service is of critical importance to all populations, particularly for aging people in a developing economy during a large-scale urbanization process.
In this talk, healthcare accessibility and equity are discussed and an indicator index system to measure accessibility and equity is proposed. An improved two-step floating catchment area (2SFCA) method is then introduced to evaluate accessibility to health facilities, with the consideration of factors related to distance to the facilities and chronic diseases for elder patients. Then a mixed integer programming model is presented to optimally allocate regional medical resources for improvement on healthcare equity. Finally, a case study in an aging community in a metropolitan city in China is carried out to illustrate the applicability of the method.
Keywords
- Health Care
- Medical Applications
- OR/MS and the Public Sector
Status: accepted
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