主管:国家卫生健康委员会
主办:国家卫生计生委医院管理研究所
中国科学引文数据库(CSCD)来源期刊
中国科技论文统计源期刊 中国科技核心期刊
《中文核心期刊要目总览》入选期刊

Chinese Nursing Management ›› 2023, Vol. 23 ›› Issue (10): 1516-1520.doi: 10.3969/j.issn.1672-1756.2023.10.015

• Digital Intelligence in Nursing • Previous Articles     Next Articles

Development and application of nursing quality monitoring decision system based on DIKW model

NI Xueping, ZHU Weiyi, XIN Xiao, SU Jing, CAO Shunhua, ZHA Qinghua   

  1. Department of Nursing, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China
  • Online:2023-10-15 Published:2023-10-15
  • Contact: E-mail:cqh21046@rjh.com.cn

Abstract: Objective: To develop a nursing quality monitoring and decision-making system to improve the level of nursing quality management. Methods: A research and development team was established to develop a nursing quality monitoring and decision-making system based on DIKW model, which included four levels: data, information, knowledge, intelligence, to realize the comprehensive collection, information extraction, knowledge provision and intelligent decision-making of nursing quality related data. Before and After 1 year's use of the system, the Post-Study System Usability Questionnaire (PSSUQ) was used to investigate the experience of nursing managers and compare the application efficiency of annual nursing quality analysis. Results: After the application of nursing quality monitoring decision system, PSSUQ score was 1.63±0.65. The average score of each item and the average score of the four dimensions showed that the user experience was above average. The time spent by nursing managers on annual quality control analysis was decreased, with statistical difference (P<0.05). The pass rate of quality control scores and the incidence of unplanned extubation in the entire hospital were improved (P<0.05). Conclusion: The nursing quality monitoring and decision system based on DIKW model provides excellent user experience in the system, information, interface quality and overall satisfaction dimensions, and can improve the efficiency of nursing managers' nursing quality control data analysis.

Key words: quality control; nursing information system; DIKW model

CLC Number: R47;R197;C931.6