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Operating Room Scheduling For Elective Patients Under Cross-Department Resource Sharing

Posted on:2021-07-17Degree:MasterType:Thesis
Country:ChinaCandidate:X W HouFull Text:PDF
GTID:2504306248956509Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
With the increasing medical demand,it is overburdened for Operation Management System of the hospital.The operating rooms are an important part of the Operation Management System of the hospital.The operating room(OR),as the main source of revenue for the hospital,has higher operating costs and involves more resources in the management process,which makes the improvement of OR management important for improving the overall operating efficiency of the hospital.In the hospital,inpatients are mainly divided into elective patients and non-elective patients.Elective patients far outnumber non-elective patients,in addition,elective patients use the most hospital resources.Therefore,elective patients are the main research object of OR scheduling.OR scheduling is a process which multiple departments participate in and multiple resources coordinate.The utilization of post-operative resources of this department determines whether the elective patients can perform the surgery as planned.The shortage of a certain resource will easily lead to the delay or cancellation of unexecuted surgeries,however,the excess of a certain resource will cause waste of resources.If the available resources of all departments are not considered in the OR scheduling,only the resources of one department are arranged,which often results in a serious waste of resources in some departments,meanwhile other departments cannot meet the surgical demand of elective patients.Based on the above,in the case where the number of patients in some departments does not match the OR related resources,this thesis studies the OR scheduling for elective patients under cross-department resource sharing.This problem consists of two sub-problems,one is how to establish the matching mechanism between departments,and the other is how to arrange operating rooms for elective patients.In order to solve these sub-problems,the main work of this thesis is as follows.First,this thesis,from the perspective of multiple departments,evaluates the work intensity of departments with comprehensive evaluation method,and builds a cross-department matching mechanism model between the departments with different work intensities to determine the cooperation combination of the departments and the direction of resource flow,so as to provide a basis for the subsequent model construction of OR scheduling.Then,in addition to the cooperation combination of the departments,we further consider the service capability constraints of the department resources and hospital public resources.A model of OR scheduling under cross-department resource sharing is established to maximize the usage of available resources and meet the surgical demand of patients.Furthermore,according to the characteristics of the sub-problems,solution algorithms are designed separately,and the actual data from an upper first-class hospital in a certain province are used to conduct numerical experiments.Finally,we compare the numerical results with the OR scheduling under resource service capability constraints of a single department,and the effectiveness of OR scheduling proposed in this thesis is verified from different perspectives.This thesis theoretically provides a reference for the model construction of department cooperation under the resource sharing,and provides a measurement method for evaluating the work intensity of departments.In addition,the OR scheduling proposed in this thesis is a new solution to solve the problem that the surgical demand of different departments does not match the related resources of OR.In practice,it is helpful for the hospital administrators to provide effective reference when processing the resources on loan in various departments,thereby optimizing the operating efficiency of OR.
Keywords/Search Tags:Operating Room Scheduling, Elective Patients, Resource Sharing, Integer Programming, Rank Sum Ratio Method
PDF Full Text Request
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