Construction of a knowledge base and decision support system for neonatal hypoglycemia nursing
WU Tiantian
YI Yinping
DU Xiaoning
SHAN Yu
LI Qian
HAO Yuefei
ZHOU Tao
TAO Lin
Abstract：Objective:To construct a knowledge base for neonatal hypoglycemia nursing and develop a clinical decision support system(CDSS),aiming to improve nurses' adherence to evidence-based practice(EBP)and enhance neonatal health outcomes.Methods:Related literature to neonatal hypoglycemia nursing was systematically searched from websites and databases.The retrieval period spanned from the establishment of the database to September 1,2024.Four researchers independently performed literature screening and quality assessment.Evidence from included literature was extracted,graded,and refined by using the Delphi expert consultation method.Forward chaining techniques from rule engines were used to map logical inference rules.Python and SQL were used to develop platform.Results:A total of 16 literature were included.The knowledge base for neonatal hypoglycemia nursing included 36 pieces of evidence,which covering risk assessment and identification,blood glucose monitoring reminders,disease severity,and intelligent decision-making push four aspects.The decision support system constructed included four modules:risk assessment and identification,blood glucose monitoring and reminder,disease severity,and intelligent decision push.Conclusions:The constructed neonatal hypoglycemia nursing knowledge base and decision support system could assist nurses in clinical decision-making,facilitating the evidence-based transformation and dissemination.
Keywords：neonatalhypoglycemiaevidence-based nursingknowledge basedecision support system
Publication Date：2025-12-10
Online Publishing Date：2025-12-08(First online date of this platform, not the publication date of the document)
Pages：10( 4003-4012 )