Construction and application of a whole-process intelligent management system for preventing PICC-related bloodstream infections
10.3760/cma.j.cn115682-20230509-01819
- VernacularTitle:预防PICC相关血流感染全流程智慧管理系统的构建及应用研究
- Author:
Enci LI
1
;
Mudan WANG
;
Lianguo CHEN
;
Huijie ZHOU
;
Danyan HU
;
Yiren HU
Author Information
1. 温州市人民医院护理部，温州 325000
- Keywords:
Catheter associated bloodstream infection;
Peripherally inserted central catheter;
Whole-process intelligent management;
Artificial intelligence;
Nursing
- From:
Chinese Journal of Modern Nursing
2024;30(10):1364-1368
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To construct the whole-process intelligent management system for preventing PICC-related bloodstream infections and explore its effect in preventing PICC-related bloodstream infections.Methods:From January 2021 to December 2022, patients with PICC admitted to Wenzhou People' s Hospital were selected as the research subject, the patients from January to December 2021 were divided into the control groups, the patients from January to December 2022 were divided into the observation group. The whole-process intelligent management system for preventing PICC-related bloodstream infections was constructed and applied with artificial intelligence, this study compared the incidence of PICC-related bloodstream infections and the implementation rate of PICC whole-process bundled management projects before and after system application.Results:The incidence of PICC-related bloodstream infections in the control group was 0.55‰ (14/25 674), while the incidence in the observation group was 0.20‰ (5/25 226), with a statistically significant difference (χ 2=4.110, P<0.05). The implementation rates of PICC whole-process bundled management projects in the control group and observation group were 74.04% (2 319/3 132) and 92.11% (2 885/3 132), respectively, with a statistically significant difference (χ 2=363.782, P<0.01) . Conclusions:The whole-process intelligent management system for preventing PICC-related bloodstream infections constructed optimizes the prevention and treatment process of PICC-related bloodstream infections, effectively ensures the implementation of nursing interventions and monitoring measures, and reduces the incidence of PICC-related bloodstream infections.
