Simulation-Based Multi-Response Optimization for Primary Healthcare System Design and Operation

DOI

10.2991/978-94-6463-256-9_105How to use a DOI?

Keywords

Primary care physician; Discrete event simulation; Taguchi’s method; Multi-response optimization

Abstract

Primary care physician service is a good form of medical service. Many countries, such as China, are in the early stages of developing family doctor services and need a mature service system. The services residents receive after signing up with a primary care physician must be clarified. In many urban communities in China, universal healthcare policies have emerged. However, most need more resources, and primary care physicians and nurses cannot provide primary care services to all community residents. This study designs a primary health care system involving general practitioners and nurses based on a Chengdu, Sichuan Province community. Moreover, the operation of this primary healthcare system is modeled by a discrete event simulation to find the service capability of the system. Then we design the optimization experiments using Taguchi's method, define multiple factors and corresponding levels, simulate the system operation by simulation model for different combinations of factors and levels, and obtain the corresponding response variables. Finally, we apply the weighted principal component analysis based on multi-response optimization to find the optimal human resource allocation, which provides guidance for better service of the primary health care system.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Hanze Qin
AU  - Jialu Yang
AU  - Tianle Lu
AU  - Yuanchen Fang
PY  - 2023
DA  - 2023/10/09
TI  - Simulation-Based Multi-Response Optimization for Primary Healthcare System Design and Operation
BT  - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
PB  - Atlantis Press
SP  - 1060
EP  - 1071
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-256-9_105
DO  - 10.2991/978-94-6463-256-9_105
ID  - Qin2023
ER  -