Research on outpatient capacity planning combining lean thinking and integer linear programming
Abstract Background The size and cost of outpatient capacity directly affect the operational efficiency of a whole hospital. Many scholars have faced the study of outpatient capacity planning from an operations management perspective. Objective The outpatient service is refined, and the quantity all...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-02-01
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| Series: | BMC Medical Informatics and Decision Making |
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| Online Access: | https://doi.org/10.1186/s12911-023-02106-6 |
| _version_ | 1797864515706028032 |
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| author | Li hua Mu Dongmei Yang Xinyu Zhang Xinyue Wang Shutong Wang Dongxuan Peng Hao Wang Ying |
| author_facet | Li hua Mu Dongmei Yang Xinyu Zhang Xinyue Wang Shutong Wang Dongxuan Peng Hao Wang Ying |
| author_sort | Li hua |
| collection | DOAJ |
| description | Abstract Background The size and cost of outpatient capacity directly affect the operational efficiency of a whole hospital. Many scholars have faced the study of outpatient capacity planning from an operations management perspective. Objective The outpatient service is refined, and the quantity allocation problem of each type of outpatient service is modeled as an integer linear programming problem. Thus, doctors’ work efficiency can be improved, patients’ waiting time can be effectively reduced, and patients can be provided with more satisfactory medical services. Methods Outpatient service is divided into examination and diagnosis service according to lean thinking. CPLEX is used to solve the integer linear programming problem of outpatient service allocation, and the maximum working time is minimized by constraint solution. Results A variety of values are taken for the relevant parameters of the outpatient service, using CPLEX to obtain the minimum and maximum working time corresponding to each situation. Compared with no refinement stratification, the work efficiency of senior doctors has increased by an average of 25%. In comparison, the patient flow of associate senior doctors has increased by an average of 50%. Conclusion In this paper, the method of outpatient capacity planning improves the work efficiency of senior doctors and provides outpatient services for more patients in need; At the same time, it indirectly reduces the waiting time of patients receiving outpatient services from senior doctors. And the patient flow of the associate senior doctors is improved, which helps to improve doctors’ technical level and solve the problem of shortage of medical resources. |
| first_indexed | 2024-04-09T22:53:08Z |
| format | Article |
| id | doaj.art-b27521c92a5949b990d3bfcca21f7ee7 |
| institution | Directory Open Access Journal |
| issn | 1472-6947 |
| language | English |
| last_indexed | 2024-04-09T22:53:08Z |
| publishDate | 2023-02-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Informatics and Decision Making |
| spelling | doaj.art-b27521c92a5949b990d3bfcca21f7ee72023-03-22T11:31:39ZengBMCBMC Medical Informatics and Decision Making1472-69472023-02-0123111410.1186/s12911-023-02106-6Research on outpatient capacity planning combining lean thinking and integer linear programmingLi hua0Mu Dongmei1Yang Xinyu2Zhang Xinyue3Wang Shutong4Wang Dongxuan5Peng Hao6Wang Ying7Abdominal Ultrasound Department, Diagnostic Ultrasound Center, First Hospital of Jilin UniversityDepartment of Clinical Research, First Hospital of Jilin UniversitySchool of Public Health, Jilin UniversitySchool of Public Health, Jilin UniversitySchool of Public Health, Jilin UniversityAbdominal Ultrasound Department, Diagnostic Ultrasound Center, First Hospital of Jilin UniversitySchool of Public Health, Jilin UniversitySchool of Public Health, Jilin UniversityAbstract Background The size and cost of outpatient capacity directly affect the operational efficiency of a whole hospital. Many scholars have faced the study of outpatient capacity planning from an operations management perspective. Objective The outpatient service is refined, and the quantity allocation problem of each type of outpatient service is modeled as an integer linear programming problem. Thus, doctors’ work efficiency can be improved, patients’ waiting time can be effectively reduced, and patients can be provided with more satisfactory medical services. Methods Outpatient service is divided into examination and diagnosis service according to lean thinking. CPLEX is used to solve the integer linear programming problem of outpatient service allocation, and the maximum working time is minimized by constraint solution. Results A variety of values are taken for the relevant parameters of the outpatient service, using CPLEX to obtain the minimum and maximum working time corresponding to each situation. Compared with no refinement stratification, the work efficiency of senior doctors has increased by an average of 25%. In comparison, the patient flow of associate senior doctors has increased by an average of 50%. Conclusion In this paper, the method of outpatient capacity planning improves the work efficiency of senior doctors and provides outpatient services for more patients in need; At the same time, it indirectly reduces the waiting time of patients receiving outpatient services from senior doctors. And the patient flow of the associate senior doctors is improved, which helps to improve doctors’ technical level and solve the problem of shortage of medical resources.https://doi.org/10.1186/s12911-023-02106-6Outpatient capacity planningLean thinkingInteger programmingClinical pathwayCplex |
| spellingShingle | Li hua Mu Dongmei Yang Xinyu Zhang Xinyue Wang Shutong Wang Dongxuan Peng Hao Wang Ying Research on outpatient capacity planning combining lean thinking and integer linear programming BMC Medical Informatics and Decision Making Outpatient capacity planning Lean thinking Integer programming Clinical pathway Cplex |
| title | Research on outpatient capacity planning combining lean thinking and integer linear programming |
| title_full | Research on outpatient capacity planning combining lean thinking and integer linear programming |
| title_fullStr | Research on outpatient capacity planning combining lean thinking and integer linear programming |
| title_full_unstemmed | Research on outpatient capacity planning combining lean thinking and integer linear programming |
| title_short | Research on outpatient capacity planning combining lean thinking and integer linear programming |
| title_sort | research on outpatient capacity planning combining lean thinking and integer linear programming |
| topic | Outpatient capacity planning Lean thinking Integer programming Clinical pathway Cplex |
| url | https://doi.org/10.1186/s12911-023-02106-6 |
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