Evidence map›Paper›PMID 42530731›Full record

ArticleJournal of robotic surgery2026

The effect of lean management on the efficiency and quality of domestic robotic surgical instrument cleaning.

Ying Ye, Man Feng, Pan Li, Shu-Hua Li, Xiao-Jie Zhang, Lu Chen, Xian Li

Abstract read
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In one paragraph

Article in Journal of robotic surgery, 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
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Ying YeDisinfection Supply Center, Fourth Hospital of Hebei Medical University, No. 169, Tianshan Street,, Shijiazhuan, 050011, Hebei, China.
Man FengDisinfection Supply Center, Fourth Hospital of Hebei Medical University, No. 169, Tianshan Street,, Shijiazhuan, 050011, Hebei, China.
Pan LiDisinfection Supply Center, Fourth Hospital of Hebei Medical University, No. 169, Tianshan Street,, Shijiazhuan, 050011, Hebei, China.
Shu-Hua LiDisinfection Supply Center, Fourth Hospital of Hebei Medical University, No. 169, Tianshan Street,, Shijiazhuan, 050011, Hebei, China.
Xiao-Jie ZhangDisinfection Supply Center, Fourth Hospital of Hebei Medical University, No. 169, Tianshan Street,, Shijiazhuan, 050011, Hebei, China.
Lu ChenDepartment of Nursing, Fourth Hospital of Hebei Medical University, Shijiazhuan, 050011, Hebei, China.
Xian LiDisinfection Supply Center, Fourth Hospital of Hebei Medical University, No. 169, Tianshan Street,, Shijiazhuan, 050011, Hebei, China. li46xian5_5uy@126.com.

Funding

The 2024 Medical Research Project Plan of the Health Commission of Hebei Province 20241516
6 · The paper itself

Abstract

This study aimed to evaluate the impact of a lean management-based optimisation process on the cleaning efficiency and quality of domestically produced robotic surgical instruments. This study was conducted at the Fourth Hospital of Hebei Medical University between 4 April 2023 and 4 August 2025. In total, 296 batches of instruments were consecutively included and allocated into 2 groups based on the intervention timeline: a control group (n = 150) receiving the traditional cleaning protocol and an observation group (n = 146) receiving the optimised process. The intervention featured systematic reorganisation, including real-time instrument recovery, refined classification, enhanced ultrasonic cleaning, and an intelligent inventory system. Cleaning efficiency was measured as the average time for 5 key reprocessing stages. Cleaning quality was assessed using light-source magnifier inspection, protein residue assay, and adenosine triphosphate (ATP) biofluorescence detection. The lean management intervention led to improvements across the following outcomes: in terms of efficiency, the observation group demonstrated a 26% reduction in average cleaning time (2.23 ± 0.51 h vs. 3.00 ± 0.82 h, P < 0.001), with significant time savings also evident in the recovery, classification, disinfection, and distribution processes (all P < 0.001). Regarding quality, the optimised process resulted in significantly higher pass rates. Superior results were also consistently observed for wrist-type instruments and accessories across the light-source and protein residue assessments (all P < 0.05). Furthermore, instrument cleanliness scores at functional ends, joints, and surfaces were all significantly higher in the observation group (all P < 0.001). Process optimisation guided by lean management principles enhances both the operational efficiency and cleaning quality of domestic robotic instrument reprocessing. This lean management optimisation model establishes unified standardised reprocessing procedures for domestic robotic surgical instruments, effectively shortens overall reprocessing time, reduces unnecessary resource waste and operational costs, and demonstrates considerable potential for clinical application to improve workflow, elevate cleaning quality, and ensure patient safety.

Indexed as

Efficiency, OrganizationalEquipment ReuseRobotic Surgical ProceduresSurgical InstrumentsDisinfectionHumansQuality ControlCleaning efficiencyCleaning qualityDomestic robotic surgeryLean management modelProcess optimisation

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Registered trials

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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.