Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Hospital human resource quantitative configuration method based on queuing theory model

A technology of human resources and configuration methods, which is applied in inspection devices, office automation, instruments, etc., can solve problems such as patient delays in seeing a doctor and unreasonable allocation of human resources, so as to reduce waiting time, provide hospital service quality, and satisfy patients and medical staff. The effect of personnel needs

Pending Publication Date: 2017-05-03
AIR FORCE MEDICAL CENT PLA
View PDF0 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problems of unreasonable allocation of human resources in the medical service system and patients' delay in seeing a doctor due to queuing phenomenon, and provide a quantitative allocation method of human resources in hospitals based on the queuing theory model to realize the optimal allocation of human resources. , reduce patient waiting time, improve service quality

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Hospital human resource quantitative configuration method based on queuing theory model
  • Hospital human resource quantitative configuration method based on queuing theory model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The present invention will be further described below in conjunction with accompanying drawing.

[0024] Refer to the attached figure 1 As shown, the hospital is a complex service system. When patients enter the hospital, they enter the hospital queuing system. When the patient arrives at the hospital from the source of the patient, he first enters the queuing registration system to wait for registration. The patient enters the queuing waiting system at the clinic and waits in line according to the queuing rules. System, queuing medicine system, queuing hospitalization system, patients will enter the queuing charging system after receiving treatment, and finally the patient is cured and discharged from the hospital queuing system.

[0025] Refer to the attached figure 2 As shown, the operation steps of the queuing theory model to simulate the quantitative allocation of human resources mainly include 4 parts and 10 measurement indicators.

[0026] Step 1 is the stage...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a hospital human resource quantitative configuration method based on a queuing theory model. The configuration method of the queuing theory model comprises four basic structures: an input procedure, service time, a service window and a queuing rule; and the method mainly comprises the following steps: step one, performing workload statistics and questionnaire survey, wherein the statistics index is the working hours and total medical consultations, and the questionnaire survey content is the medical staff acceptable maximum working strength and patient bearable longest waiting time; step two, measuring basic parameters by use of a work-hour measurement method: a service counter number C, an average arrival rate lambda and an average service rate mu; step three, establishing the queuing theory model, analyzing the data by use of the queuing theory analysis model; step four, outputting the following outcome indexes: the working strength rho, an average waiting number Lq, an average staying number Ls, average waiting time Wq, average remaining time Ws, an idle probability Po and a waiting probability P; comparing various data indexes, and regarding the service counter number C satisifying that the working strength rho is less than one and meets the medical staff working strength and the patient waiting time as an optimal data result. The method disclosed by the invention has the advantages that the quantitative configuration problem of the medical staff is effectively solved, and the scientific reference is provided for improving the service effect.

Description

technical field [0001] The invention relates to a mathematical theory and method for quantitative allocation of human resources by a queuing model. Specifically, a queuing theory analysis model is used to dynamically simulate the structure and behavior of a queuing system to scientifically analyze the rationality of human resource allocation for medical personnel. Background technique [0002] At present, countries around the world are facing the problem of relative shortage of health human resources, including shortage of personnel, uneven distribution, unbalanced structure, unreasonable allocation ratio, etc., which do not meet the needs of patients for medical treatment, and patients will inevitably queue up when they see a doctor. Too long waiting time for medical treatment, decreased patient satisfaction, busy medical staff, and prone to errors cause medical disputes, which directly affect the quality and level of medical service in the hospital. Therefore, how to ration...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06Q10/10G06Q50/22G07C11/00
CPCG06Q10/1097G06Q50/22G07C11/00G07C2011/04
Inventor 李平叶苓欧文斌王亚楠胡玉洁
Owner AIR FORCE MEDICAL CENT PLA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com