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Obstetric multi-type ward planning method combined with mixed integer linear programming

A linear programming and mixed integer technology, applied in the direction of medical care resources or facilities, can solve the problems of wasting medical resources and patients cannot be admitted to the hospital, and achieve the effect of improving work efficiency, precision and refinement of medical services

Pending Publication Date: 2022-03-08
JILIN UNIV
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Problems solved by technology

If a certain type of ward allocation is relatively small, it will create a bottleneck and cause more patients to be unable to be admitted, wasting medical resources

Method used

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  • Obstetric multi-type ward planning method combined with mixed integer linear programming
  • Obstetric multi-type ward planning method combined with mixed integer linear programming
  • Obstetric multi-type ward planning method combined with mixed integer linear programming

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Embodiment Construction

[0038] Below by specific embodiment and accompanying drawing, the present invention is described in further detail:

[0039] see figure 2 and Figure 4 , a method of maternity ward planning combined with mixed integer linear programming, the steps of which include at least:

[0040] Step 1: Subdivide the obstetrics ward into three types of wards based on lean thinking, waiting for labor, caesarean section, and normal delivery; for the variables of the number, capacity, and total number of three types of wards, the average length of stay and the average number of wards before planning The capacity is represented by a variable.

[0041] Step 2: According to the number of patients accommodated in the waiting ward, generate the constraint relationship between the maximum total number of people that can be accommodated and the ward; generate the constraint relationship between the number of people that can be accommodated in the waiting room according to the maximum total number...

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Abstract

The invention relates to an obstetric multi-type ward planning method combined with mixed integer linear programming, and belongs to the field of data-driven intelligent medical management and decision making under the support of an artificial intelligence technology. The method comprises the following steps: firstly, according to a lean thought, dividing an obstetric ward into a predelivery ward, a cesarean ward and an eutocia ward; generating a constraint relation related to the predelivery ward according to the number of the predelivery ward rooms, the number of accommodated patients and the number of days; generating a constraint relation related to the cesarean ward according to the number of rooms of the cesarean ward, the number of accommodated patients, the number of days of people and the cesarean proportion; generating a constraint relation related to the eutocia ward according to the number of eutocia ward rooms, the number of accommodated patients, the number of days and the eutocia proportion; according to the number of the three types of wards and the total number of the wards, generating a constraint relation between the numbers of the wards; in order to maximize the total number of the admission pregnant woman patients, generating a constraint relation of the maximum total number of the admission pregnant woman patients; based on the constraint relation, a mixed integer linear programming solver is used for solving, and then the maximum total admission number is obtained.

Description

technical field [0001] The invention relates to a method for planning multi-type obstetrical wards combined with mixed integer linear programming, which belongs to the field of intelligent medical management and decision-making driven by artificial intelligence. Background technique [0002] Healthcare has now become one of the largest industries in the world. In recent years, medical costs in developed countries have risen sharply, and about one-third of the costs are paid by hospitals. The health government departments of various countries have successively issued relevant policies, forcing hospitals to improve operating efficiency, control costs and increase income. A hospital is a large and complex system, and one of the key factors in controlling costs and increasing revenue is efficient patient flow and bed planning capabilities. [0003] In recent years, the research on patient flow scheduling in hospitals has attracted more and more attention from the commercial and...

Claims

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Application Information

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IPC IPC(8): G16H40/20
CPCG16H40/20
Inventor 李桦牟冬梅白森张立明王萍琚沅红赵丹宁杨鑫禹
Owner JILIN UNIV
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