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Medical route optimization method based on outpatient big data analysis

An optimization method and big data technology, applied in the field of hospital navigation, can solve problems such as inability to find and get lost, and achieve the effect of reducing the inquiry process, reducing the time of wayfinding, and making registration quick and convenient.

Pending Publication Date: 2022-06-10
牛红艳
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0010] Most large-scale hospitals occupy a large area and many supporting buildings. Different departments, inpatient areas, testing areas and infusion areas are distributed among them. Therefore, patients in the hospital go to a specific area according to the doctor's order. It is impossible to find a specific route to the area, and even get lost in the process of finding the way

Method used

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  • Medical route optimization method based on outpatient big data analysis
  • Medical route optimization method based on outpatient big data analysis
  • Medical route optimization method based on outpatient big data analysis

Examples

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Embodiment 1

[0032] As a preferred technical solution of the present invention, the extension module: when the patient is going, but not enough time, use it, and the confirmation module: when the patient is queuing up for another item, agree to replace (not selected in 30 seconds, It is automatically regarded as the patient agrees to replace), through the extension module and the confirmation module, firstly, it is avoided when the patient is about to arrive, because of being idle for a long time for a response, resulting in re-queuing; Replacement also avoids infringing on the rights and interests of other patients by jumping in the queue.

[0033] As a preferred technical solution of the present invention, the route optimization module: according to the location of the patient and the route to the department, recommend the route, and the patient can select the selected destination through the display on the mobile terminal Add it to the route, and at the same time generate a new route pl...

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Abstract

The invention discloses a doctor-seeing route optimization method based on outpatient big data analysis, relates to the technical field of hospital navigation, and aims at solving the problem that due to the fact that waiting time and passing conditions of all departments are different, corresponding adjustment can be carried out according to the current conditions of all the departments through the method, the travel route of a patient can be optimized, and the service life of the patient is prolonged. The medical time of the patient is shortened as far as possible; according to the invention, when a patient sees a doctor in an outpatient service, optimal path recommendation can be carried out based on big data analysis, and the current passing conditions and people flow density of each department and the average waiting time of the department are comprehensively considered, so that the time for finding a path is reduced, and the method is more humanized; and the abnormal route which cannot be universal is discharged, so that the situation that the vehicle has to return to the original route when encountering obstacles in the process of advancing along the passing route is avoided.

Description

technical field [0001] The invention relates to the technical field of hospital navigation, in particular to a method for optimizing a medical route based on outpatient big data analysis. Background technique [0002] The outpatient clinic usually receives patients with mild symptoms. After a complete set of diagnostic methods and auxiliary examinations, the outpatient doctor can give the patient a preliminary diagnosis. The outpatient doctor can treat the patient and treat the patient. If the outpatient doctor has doubts about the patient's condition Or if it is diagnosed as serious and urgent, the patient will be admitted to the inpatient ward for further examination or surgery or related treatment and other medical measures in the hospital. [0003] Big data refers to a collection of data that cannot be captured, managed, and processed by conventional software tools within a certain period of time. It is a massive, High growth rate and diverse information assets. [000...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H40/20G16H10/60G06Q10/04
CPCG16H40/20G16H10/60G06Q10/047
Inventor 牛红艳邱煊惠姚蕊黄佳佳刘云婷张雯张玲娟帖丽珍
Owner 牛红艳
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