大数据分析药房智能审方新模式应用

The Application of a New Intelligent Audit Model for Pharmacy through Big Data Analysis

目的从处方的大数据分析中探索并建立门诊药房“人工+智能”审方新模式,提升处方质量。方法运用PDCA循环管理法,以2021年7月—12月拒绝调配处方为对照组。以2022年7月—12月拒绝调配处方为干预组。以2023年1月—6月拒绝调配处方为持续改进组,观察持续改进前后拒绝调配处方和不合理处方改善情况。结果改进前处方干预成功率为96.79%,处方不合理率为0.88%;改进后处方干预成功率为99.60%,处方不合格率为0.16%,差异有统计学意义(P<0.05)。结论门诊药房运用“人工+智能”的审方新模式后,处方质量得以大幅提升,本研究建立了门诊药房智能审方新模式,具有积极的推广价值。

Objective To explore and establish a new mode of“artificial+intelligence”in pharmacy from the big data analysis of prescription to improve the quality of prescription.Methods Using the PDCA cycle management method,the refusal of dispensing prescription from July to December 2021 was used as the control group.The refusal of dispensing prescription from July to December 2022 was considered as the intervention group,taking the prescription refusal from January to June 2023 as the continuous improvement group.The improvement of the prescription refusal and unreasonable prescription before and after the continuous improvement was observed.Results Before improvement,the success rate of prescription intervention was 96.79%,and the irrational rate of prescription was 0.88%.After improvement,the success rate of prescription intervention was 99.60%,the unqualified rate of prescription was 0.16%,and the data difference was significant(P<0.05).Conclusion After the application of the new prescription examination mode of“artificial+intelligence”,the prescription quality has been greatly improved.This study established a new mode of intelligent prescription examination in outpatient pharmacy,which has positive promotion value.