Model and algorithm for cross-departmental coordination in healthcare under demand evolution

TENG Chenmei, XIANG Yin, LI Shanliang

Systems Engineering - Theory & Practice ›› 2024, Vol. 44 ›› Issue (12) : 4084-4096.

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Systems Engineering - Theory & Practice ›› 2024, Vol. 44 ›› Issue (12) : 4084-4096. DOI: 10.12011/SETP2023-0668

Model and algorithm for cross-departmental coordination in healthcare under demand evolution

  • TENG Chenmei1, XIANG Yin2, LI Shanliang3
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Abstract

Facing the twin challenges of an aging population and a high incidence of chronic diseases, the rational distribution of healthcare resources to adapt to the dynamically changing healthcare demands is critically important. This study introduces an innovative cross-sector collaborative allocation model aimed at enhancing the dynamic response to healthcare needs at various stages. Through analyzing the phased evolution of healthcare demand and its correlation with resource distribution, the research uncovers pivotal points for optimizing healthcare services. To solve this model effectively, the study has developed and refined a hierarchical genetic algorithm, introducing discriminant operators and a novel encoding strategy to boost algorithm performance and the suitability of solutions. Case studies and sensitivity analysis have verified the model's heightened efficiency in response, particularly when the budget is ample, revealing the model's capacity to fulfill diverse healthcare needs cost-effectively. P-value statistical analysis indicates that, in comparison to existing methods, our proposed algorithm demonstrates superior precision and efficiency in tackling practical problems, showing its real-world application value in future healthcare resource management.

Key words

demand evolution / cross departmental collaboration / hierarchical network configuration / algorithm optimization

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TENG Chenmei , XIANG Yin , LI Shanliang. Model and algorithm for cross-departmental coordination in healthcare under demand evolution. Systems Engineering - Theory & Practice, 2024, 44(12): 4084-4096 https://doi.org/10.12011/SETP2023-0668

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Funding

Humanities and Social Sciences Foundation of Ministry of Education of China (21YJC630126);Major Project of Philosophy and Social Science Research in Colleges and Universities of Jiangsu Province (2021SJA1364)
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