DeepSeek-V3-0324大模型在药学门诊用药教育中的应用初探
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中图分类号R95；TP18 文献标志码A 文章编号1001-0408（2025）17-2192-05
DOI 10.6039/j.issn.1001-0408.2025.17.19
Preliminaryexplorationof theapplicationof theDeepSeek-V3-O324large-scalemodel inmedicatior educationinpharmaceutical outpatientclinics
QIAN Fengdan，JIA Tingting，ZHANG Die，ZHANG Lichao，XUE Ya（Dept. of Pharmacy， Shanghai Municipal Hospital of Traditional Chinese Medicine Affiliated to Shanghai University of Traditional Chinese Medicine， Shanghai ，China）
ABSTRACTOBJECTIVETo exploreanew modelof inteligent medicationeducation for pharmaceuticaloutpatientclinics by constructing dynamicHTML web pagesthrough theDepSeek-V3-0324 large-scalemodel.METHODSClinical pharmacists integratedkeyclinicalinformationsuchaspatients’basicinformation，medicationhistoryandmedicationprecautions inrealtime， andgeneratedastandardizedmedicationeducationlistthroughtheDepSeek-V3-0324large-scalemodelandmanualreview. RESULTS TheDepSeek-V3-0324large-scale modelwas applied inthe pharmaceutical outpatientclinics to generate apersonalized medicationeducationlist，whichcouldefectivelysolvethedisunityofpharmacyguidancecausedbythelackofstandardizationof medicationeducationandthedierenceofindividualizedexperienceofpharmacistsinthetraditionalpharmaceuticaloutpatient clinics inthefaceofcomplexcases，andmedicationerorscausedbyforgetingormisrememberinginformationamongcertain special patientpopulations aferreceiving medicationeducation.CONCLUSIONsThetransformationandapplicationofartificial inteligencetechnologyinpharmaceuticaloutpatientclinicsisaninnovationofpharmaceuticaloutpatientsrvicemeans，whichcan provide patientswithimmediateandpersonalizedmedicationeducationandimprovethequalityofpharmaceuticalcare.However，it isalsonecessarytofacethelagofdatabaseupdateandthelackofriskmanagement，aswellasthelackofdiversificationof medication education lists.
KEYWORDSartificial inteligence；pharmaceutical services；pharmaceutical clinics；rational druguse;DeepSeek
近年来，随着人工智能（artificialintelligence，AI）技术在医疗行业的不断深人应用，药学服务模式也进人了一个全新的发展阶段。（剩余6941字）
