Construction and application of an intelligent assistive decision-making system for children's rational medication in maternal and child health hospital
Objective To construct an intelligent assistive decision-making system for children's rational medication,and to provide a strong reference for the safety of children's medication.Methods By building a knowledge base and rule base,visualized and customized child-specific medication regulations were set up according to drug instructions,drug attributes and evidence-based medical data.The effectiveness of the system was evaluated by comparing the effects before and after its application.Results Nearly 400 commonly used drugs for children and more than 8,000 customized rules for children's rational medication were constructed.After the system was applied,a total of 564,287 pediatric prescriptions were reviewed.The system had a higher error alert rate for all types of prescriptions than manual review,with an RR of 11.26(95％CI:10.73 to 11.82).Compared with manual prescription review by pharmacists,the alert rates for drug interactions,dosage,and inappropriate co-prescribing were significantly improved,with specific RR values of 35.49(95％CI:28.33 to 44.45),36.55(95％CI:31.61 to 41.49),and 18.89(95％CI:11.30 to 31.58),respectively.However,there was no significant difference in clinician acceptance rate between manual and systematic reviews by pharmacists.Conclusion The intelligent assistive decision-making system for pediatric rational medication can significantly improve the work efficiency of pharmacists,optimize rational medication practices,and then promote the overall improvement of medical service quality.
Rational drug useCustomized rulesSmart medical care
维普
万方数据
