Development and application of dynamic scoring information system for critically ill patients
10.3760/cma.j.issn.1674-2907.2018.35.025
- VernacularTitle:危重症患者病情动态评分信息化系统的构建与应用
- Author:
Jiajun SHU
1
;
Jinqi WANG
;
Xia DUAN
;
Guangyuan CHEN
;
Xianliang LIU
;
Beimin CHEN
Author Information
1. 同济大学附属第十人民医院护理部
- Keywords:
Critical illness;
Scoring system;
Informatization;
Clinical decision-making;
Alarm
- From:
Chinese Journal of Modern Nursing
2018;24(35):4305-4308
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo develop and preliminarily apply a dynamic scoring information system for critically ill patients to optimize the management system for critically ill patients. Methods? Totally 55 risk factors of three groups were selected based on Acute Physiology and Chronic Health Evaluation Scoring System, Tiss-28 Scoring System 2, critical value and expert consensus and included in the information platform, which was connected to the hospital's information and data system. A dynamic scoring system was designed and developed independently. The system consisted of two modules: alarm and clinical decision-making. An operation protocol was made by the Department of Nursing and included into the nursing management system to ensure that the system could run effectively. Data of inpatients in Tenth People's Hospital of Tongji University from October 2015 to October 2017 was selected. The disease recognition of the dynamic scoring system and the existing MEWS alarm and scoring system and the success rate of treatment in critically ill patients before and after the dynamic scoring system was introduced were compared. Results? The area under receiver operating characteristic curves (AUC-ROC) of the dynamic scoring system was 0.947(95%CI 0.930-0.964), which showed higher recognition of critical illness compared with the MEWS alarm and scoring system (P＜0.05). After the dynamic information system was introduced, the success rate of treatment in critically ill patients was 68.61%, which was higher than that before it was applied (χ2=10.046; P=0.002). Conclusions? The dynamic scoring system can accurately evaluate patients' disease and provide digital data and a list of clinical decisions for nurses, thus improving the success rate of treatment in critically ill patients and enhancing nurses' clinical decision-making ability.
