Evidence map›Paper›PMID 41928230›Full record

ArticleBMC health services research2026

Enhancing sterilization supply management: a pre-post study on the impact of an integrated information system in a multi-campus hospital setting.

Gen Li, Fuhai Xia, Xi Chen, Li Li, Liqin Xu, Hui Zeng, Xuan Mao, Qiang Li, Rui Chen

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

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

9 authors.

Gen Li *Department of Operating Room, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China.
Fuhai Xia *Department of Operating Room, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China.
Xi Chen *Department of Operating Room, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China.
Li LiDepartment of Operating Room, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China.
Liqin XuDepartment of Operating Room, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China.
Hui ZengDepartment of Operating Room, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China.
Xuan MaoDepartment of Operating Room, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China.
Qiang Li *Department of Operating Room, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China. liqiang09100@163.com.
Rui Chen *Department of Operating Room, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China. cr671102@163.com.

Funding

The project of Towards a Revolution in Getting Nurses' Health Ticked (TARGET) TARGET2025MS05
6 · The paper itself

Abstract

backgroundThe coexistence of a “multi-campus” model and outsourced services presents complex operational challenges. Traditional fragmented information systems for sterilization supply suffer from data silos, fragmented traceability chains, and low coordination efficiency, severely constraining the management quality of sterile items and posing potential risks to patient safety.

objectiveTo evaluate the application effects of an integrated information system in improving the management quality of sterile items, efficiency of multi-campus coordination, and data accounting accuracy.

methodsA retrospective pre-post study design was employed. Data were collected from October 2023 to September 2024 (pre-upgrade, control group) and from October 2024 to September 2025 (post-upgrade, intervention group). The compared indicators encompassed the accuracy of sterile item reception, the expiry rate of sterile items, the multi-campus transfer qualification rate, the multi-campus transfer response time, the report generation time, and user satisfaction.

resultsCompared to the period when the old system was in use, the new system significantly improved outcomes: the accuracy of sterile item reception increased from 94.2% to 99.9% (p < 0.001); the expiry rate of sterile items was reduced from 0.089% to 0.025% (p < 0.001); the multi-campus transfer qualification rate improved from 86.0% to 100.0% (p < 0.001); the multi-campus transfer response time was shortened from 30.9 min to 5.5 min (p < 0.001); the report generation time was reduced from 44.9 min to 3.2 min (p < 0.001). Furthermore, user satisfaction scores showed significant improvement across multiple dimensions, including operational convenience (4.3 ± 0.6 vs. 2.7 ± 0.6) and information accuracy (4.4 ± 0.5 vs. 2.7 ± 0.6) (all p < 0.001).

conclusionThe integrated sterilization supply information system significantly optimized the management process of sterile items, achieving efficient multi-campus resource coordination and automated data accounting. This study provides a replicable digital transformation model for similar multi-campus hospitals, which is crucial for systematically ensuring patient safety, enhancing healthcare quality, and promoting high-quality hospital development.

Indexed as

Hospital Information SystemsMaterials Management, HospitalMulti-Institutional SystemsSterilizationEfficiency, OrganizationalHumansRetrospective StudiesCentral sterile supply departmentHospital supply chain managementIntegrated information systemMulti-campus hospitalOutsourced services

Identifiers

PMID41928230
PMCPMC13169600

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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.