Preventive medical facility planning method considering crowding effect

A preventive and facility-based technology, applied in medical equipment, data processing applications, resources, etc., can solve problems such as not considering the waiting time of facilities, and achieve the effect of maximizing the total social utility, saving money, and improving well-being

Pending Publication Date: 2022-04-29
SOUTHEAST UNIV
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  • Abstract
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Problems solved by technology

The third is the polynomial logit distribution, which can include the user's characteristics and unobserved attributes in the utility function, but it does not consider the wait

Method used

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  • Preventive medical facility planning method considering crowding effect
  • Preventive medical facility planning method considering crowding effect
  • Preventive medical facility planning method considering crowding effect

Examples

Experimental program
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Embodiment Construction

[0118] We conduct a computational experiment to evaluate the effectiveness of the proposed model and algorithm. The experiment adopts the SiouxFalls network widely used in network design. This is an example figure 2 A medium-sized network is shown. The network consists of 24 nodes and 76 road segments. For computational experiments, it is assumed that there are 8 demand nodes and 8 candidate locations. Therefore, there are 64 pairs of origins and destinations. The travel time and length of road section a (a∈L) are denoted as t a and l a , and the values ​​are shown in Table 1. Assuming that the driving speed of the road section is 30 miles per hour (mile / h), the length of the road section can be converted into the driving time of the road section. The preventive medical demand data calculated by the number of users per hour (user / hour) is shown in Table 2.

[0119] Table 1 Characteristics of the Sioux Falls network

[0120]

[0121] Table 2 Medical demand data for...

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Abstract

The invention provides a preventive medical facility planning method considering a crowding effect so as to maximize the total social utility. Due to the fact that a double-layer decision-making structure exists between a system manager and a facility user, a double-layer nonlinear integer programming model is constructed. An upper layer is a medical facility site selection and service capability planning problem under budget constraint, and a lower layer is a user selection balance problem considering a crowding effect. In order to solve the bilayer programming model, a genetic algorithm (GA) is adopted to solve an upper layer problem, and a successive average method (MSA) is adopted to solve a lower layer problem. Experiments show that the method can be used for preventive medical facility planning under budget constraint and can also provide reference for budget compilation.

Description

Technical field: [0001] The invention proposes a preventive medical facility planning method considering the crowding effect, and belongs to the technical field of facility planning. Background technique: [0002] Preventive health services are critical to governments because they reduce the likelihood and severity of potentially life-threatening diseases through early detection. Preventive healthcare includes many services such as flu prevention, vaccinations, cancer screenings, hepatitis screenings, and smoking cessation programs, among others. We all know that prevention is always better than cure. It can save the government a lot of money and improve the well-being of the whole society. However, the current preventive medical and health services in many countries and regions in the world are not satisfactory. [0003] The present invention focuses on site selection of preventive medical and health service facilities and related service capacity planning. Unlike tradi...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06N3/12G16H40/60
CPCG06Q10/0637G06N3/126G16H40/60
Inventor 林宏志王海铄周锦荟
Owner SOUTHEAST UNIV
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