Evidence map›Paper›PMID 42106790›Full record

ArticleBMC health services research2026

Simulation research on the clinical path of non-small cell lung cancer surgery based on time petri net.

Chen Da, Song Haitao, Song Jun, Zhong Hui, Xu Chuangchuang, Gao Junli

Abstract read
In one paragraph

Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Chen DaSchool of Business Administration, South China University of Technology, Guangzhou, 510600, China.
Song HaitaoSchool of Business Administration, South China University of Technology, Guangzhou, 510600, China.
Song JunDepartment of Medical Record Management, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, 510200, China. Sjj_tian@163.com.
Zhong HuiDepartment of Medical Record Management, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, 510200, China.
Xu ChuangchuangSchool of Automation, Guangdong University of Technology, Guangzhou, 511400, China.
Gao JunliSchool of Automation, Guangdong University of Technology, Guangzhou, 511400, China.

Funding

the 2023 Guangzhou Municipal Basic Research Program Joint Funding Project 2023A03J0279
6 · The paper itself

Abstract

backgroundClinical pathways are increasingly adopted to control costs and enhance quality management, becoming a standardized approach in treatment. This study aims to develop a hospital-specific clinical pathway for non-small cell lung cancer (NSCLC) surgery based on national standards and actual treatment practices, and evaluate its service efficiency through simulation.

methodsWe analyzed 94 electronic medical records of NSCLC surgeries performed between May 2020 and November 2022, evaluating the need for localization by statistically examining treatment process delays. A Time Petri Net model was established for this pathway, with simulations conducted to measure post-implementation changes in hospital length of stay (LOS).

resultsThe hospital's existing processes were generally consistent with national standards. Validation of the Time Petri Net model confirmed its effectiveness. Simulation results showed that the average LOS was reduced from a baseline of 8.20 days to 7.76 days, saving a total of ~ 10.28 h (individual diagnostic/treatment processes were shortened by 0.15-5.04 h).

conclusionImplementing this tailored clinical pathway significantly improved service efficiency by aligning it with national guidelines, enabling better integration and optimization of medical resources while improving overall clinical pathway management quality.

Indexed as

Carcinoma, Non-Small-Cell LungCritical PathwaysLung NeoplasmsComputer SimulationElectronic Health RecordsHumansLength of StayClinical pathwayHospitalizationNon-small cell lung cancer (NSCLC)Time petri net

Identifiers

PMID42106790
PMCPMC13326392

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