Evidence map›Paper›PMID 36782168›Full record

ArticleBMC medical informatics and decision making2023

Research on outpatient capacity planning combining lean thinking and integer linear programming.

Li Hua, Mu Dongmei, Yang Xinyu, Zhang Xinyue, Wang Shutong, Wang Dongxuan, Peng Hao, Wang Ying

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Li HuaAbdominal Ultrasound Department, Diagnostic Ultrasound Center, First Hospital of Jilin University, Changchun, Jilin, China.
Mu DongmeiDepartment of Clinical Research, First Hospital of Jilin University, Changchun, Jilin, China. moudm@jlu.edu.cn.
Yang XinyuSchool of Public Health, Jilin University, Changchun, Jilin, China.
Zhang XinyueSchool of Public Health, Jilin University, Changchun, Jilin, China.
Wang ShutongSchool of Public Health, Jilin University, Changchun, Jilin, China.
Wang DongxuanAbdominal Ultrasound Department, Diagnostic Ultrasound Center, First Hospital of Jilin University, Changchun, Jilin, China. jluwangdongxuan@163.com.
Peng HaoSchool of Public Health, Jilin University, Changchun, Jilin, China.
Wang YingSchool of Public Health, Jilin University, Changchun, Jilin, China.
Jilin University · CN

Funding

National Natural Science Foundation of China 71974074the education department of Jilin Province 20211103KJ
6 · The paper itself

Abstract

backgroundThe 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.

objectiveThe 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.

methodsOutpatient 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.

resultsA 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%.

conclusionIn 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.

Indexed as

OutpatientsPhysiciansAmbulatory CareHospital Bed CapacityHospitalsHumansProgramming, LinearClinical pathwayCplexInteger programmingLean thinkingOutpatient capacity planning

Identifiers

PMID36782168
PMCPMC9924205
OpenAlexW4320481024

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.