Evidence map›Paper›PMID 40016752›Full record

ArticleBMC medical informatics and decision making2025

Development and evaluation of a whole-chain management system for critical value reporting.

Dongdong Wu, Feng Zhu, Yifan Sheng, Weiwei Zhang, Hanbo Le, Guoqiang Zhang, Lei Wang, Boer Yan

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

8 authors.

Dongdong WuDepartment of Geriatric and Integrated Chinese and Western Medicine, Zhoushan Hospital, Zhoushan, China.
Feng ZhuDepartment of Hematology, Zhoushan Hospital, Zhoushan, China.
Yifan ShengIntensive Care Unit, Zhoushan Hospital, Zhoushan, China.
Weiwei ZhangDepartment of Information Office, Zhoushan Hospital, Zhoushan, China.
Hanbo LeDepartment of Cardiothoracic Surgery, Zhoushan Hospital, Zhoushan, China.
Guoqiang ZhangDepartment of Gastrointestinal Diagnosis and Treatment Center, Zhoushan Hospital, Zhoushan, China.
Lei WangDepartment of Information Office, Zhoushan Hospital, Zhoushan, China.
Boer YanDepartment of Nursing, Zhoushan Hospital, Zhoushan, China. zsyhb@163.com.

Funding

the Medical Science and Technology Project of Zhejiang Provincial Health Commission 2023KY1299the Medical Science and Technology Project of Zhoushan Municipal Health Commission 2022YB09
6 · The paper itself

Abstract

backgroundCritical value (CV) management is vital for patient safety and shows the quality of critical care. This study aimed to develop a whole-chain management system (WCMS) for CV reporting and evaluate its impact on clinical practice.

methodsA WCMS for CV reporting, considering sample, process and patient population, was developed. A quasi-experimental study was conducted at Zhoushan Hospital. 591 CVs were divided into two groups: the postapplication group (n = 298) and the preapplication group (n = 293). CV quality-related indicators were compared between the two groups, including the timely reporting rate, timely receiving rate, timely treatment rate, completeness of treatment records and closed-loop rate.

resultsBefore system implementation, the timely treatment rate (93.17%), completeness of treatment records (78.16%), and closed-loop rate (88.05%) were lower than the timely reporting rate (94.54%). After implementation, there were significant differences between the two groups in timely reporting rate (94.54% vs. 97.99%, P < 0.05), timely treatment rate (93.17% vs. 97.65%, P < 0.01), completeness of treatment records (78.16% vs. 94.97%, P < 0.01), and closed-loop rate (88.05% vs. 97.32%, P < 0.01).

conclusionImplementing the WCMS from sample, process and patient population has improved patient safety. The system's successful integration also shows its potential for use in health information systems of various healthcare facilities.

Indexed as

Critical CarePatient SafetyQuality Indicators, Health CareHumansChain flowChain managementCritical valuesInformation systemWhole patient populationWhole processWhole sample

Identifiers

PMID40016752
PMCPMC11869711

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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.