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

IF 3.3 3区医学 Q2 MEDICAL INFORMATICS

BMC Medical Informatics and Decision Making Pub Date : 2025-02-27 DOI:10.1186/s12911-025-02936-6

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

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引用次数: 0

Abstract

Background: Critical 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.

Methods: A 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.

Results: Before 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).

Conclusion: Implementing 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.

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来源期刊

BMC Medical Informatics and Decision Making 医学-医学：信息

CiteScore

7.20

自引率

5.70%

发文量

297

审稿时长

1 months

期刊介绍： BMC Medical Informatics and Decision Making is an open access journal publishing original peer-reviewed research articles in relation to the design, development, implementation, use, and evaluation of health information technologies and decision-making for human health.