Construction and usability evaluation of a clinical decision support system for frequency repositioning in ICU patients
10.3761/j.issn.0254-1769.2025.07.009
- VernacularTitle:ICU患者体位变换频率临床决策支持系统的构建及可用性评价
- Author:
Jiamin LI
1
;
Haoqi WU
;
Yufang HAO
;
Zhiwen WANG
;
Xinjuan WU
Author Information
1. 311121 杭州市 杭州师范大学护理学院
- Publication Type:Journal Article
- Keywords:
Repositioning;
Individualized Frequency;
Clinical Decision Support System;
Nursing Care
- From:
Chinese Journal of Nursing
2025;60(7):827-831
- CountryChina
- Language:Chinese
-
Abstract:
Objective This study aims to construct and evaluate a clinical decision support system for individualized frequency repositioning in ICU patients using big data and modern information technology,with the goal of improving ICU nursing quality.Methods From February to August 2023,a dedicated research team was established to construct a data model based on real-world data from 3,988 ICU patients,assessing the impact of different position change frequencies on the incidence of pressure injuries.Based on this model,a decision support system was designed and developed,incorporating modules for personalized patient characteristics input,data analysis and result queries,decision recording,and patient file management.From September to November 2023,ICU nurses at a tertiary hospital in Qingdao city was selected to use the system.A usability survey was conducted using the System Usability Scale(SUS)to evaluate the system's usability.Results The constructed decision support system can display the outcomes for patients under 7 different position change frequencies based on the input of personalized patient characteristics and the calculation results from the data model,providing precise decision support for nurses.A total of 85 nurses participated in the system usability evaluation,with the SUS score of 64.22±13.9.Conclusion The constructed individualized frequency of repositioning decision support system for ICU patients demonstrates good scientific validity and usability,providing clinical nurses with a valuable reference for implementing personalized position change frequencies for patients.
