基于数智驱动的中药房调剂取药流程优化研究

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中图分类号R952 文献标志码A 文章编号1001-0408（2026）05-0660-05

DOI 10.6039/j.issn.1001-0408.2026.05.19

Optimization of drug dispensing and pickup process in traditional Chinese medicine pharmacy based on data-intelligence-driven

WANG Qi， ZENG Panke，SONG Haoxin，FENG Yonggang，SUN Lili，FENG Jingting，NIU Weiqing，DONG Haiyan，WANG Feng（Dept.of Pharmacy，the First Afiliated Hospital of Xi'an Jiaotong University，Xi'an 710061，China）

ABSTRACTOBJECTIVEToexplore the transformationof the dispensingand drug pickupprocess in traditional Chinese medicine pharmacy（TCMPharmacy）inourhospitalbasedondata-inteligence-driven，aiming toimprovepharmacists’work eficiency and patients’drug pickup experience.METHODs Value stream maping and journey mapping were used to systematicallidentifynon-value-addedlinksinpharmacists’dispensingprocessandkeypainpointsinpatients’drugpickupunder thetraditional process.An intellgent dispensing and drug pickupsystem forthe TCM Pharmacywas developed basedonthe C# and Androidtelevision platforms，andamachine-learningmodelwasadoptedtopredictpatients’drug pickupwaiting time.A comprehensiveevaluation was performed from threeperspectives：system performance，predictionaccuracy，andsatisfactionof pharmacistsandpatients.RESULTSThesystemsuccesfullystreamlinednon-value-addedlinkssuchas“waitingforwritingonthe board”and“searchingfordrugs”，andrealizedmultimodaldynamicpromptsofdispensingstatus throughauditory（numbercaling） andvisual（television terminal）chanels.Theconstructed modelforpredictigdrug pickupwaitingtimeexhibitedgood fiting degree and generalization ability （mean absolute error =4.28min ， R2=0.882 ）.The comprehensive satisfaction scores of pharmacists and patients in the traditional mode were significantly increased from （ （70.99±1.74） and （73.58±1.98） to （90.02±1.30） and （88.61±2.08） in the new system，respectively （P<0.01 ）. CONCLUsIONS The transformation of the intelligent drug dispensing andpickupsystemforTCMpharmacybasedondata-intellgence-driveneffectivelyimprovestheeffciencyofpharmacists’ dispensingwork，realizesprocesstransparencyandwaitingtimepredictability，andsignificantlyenhancespatients’drugpickup experience.

KEYWORDStraditional Chinese medicinepharmacy；intelligentdispensinganddrugpickupsystem；data-intellgence-driven;work efficiency； waiting time prediction of drug pickup; satisfaction

在中医药现代化进程中，中药房作为医疗服务体系的关键终端，其发展长期面临着调剂流程碎片化与取药体验滞后性的双重结构性矛盾[1。（剩余7078字）