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中山大学附属第一医院药学部,广州 510080
Received:30 September 2024,
Revised:26 February 2025,
Accepted:2025-02-26,
Published:15 April 2025
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廖丽文,王钰琦,王玉紫等.门诊药房实施药品追溯码管理的实践与分析 Δ[J].中国药房,2025,36(07):858-862.
LIAO Liwen,WANG Yuqi,WANG Yuzi,et al.Practice and analysis of implementing drug traceability code management in outpatient pharmacy[J].ZHONGGUO YAOFANG,2025,36(07):858-862.
廖丽文,王钰琦,王玉紫等.门诊药房实施药品追溯码管理的实践与分析 Δ[J].中国药房,2025,36(07):858-862. DOI: 10.6039/j.issn.1001-0408.2025.07.16.
LIAO Liwen,WANG Yuqi,WANG Yuzi,et al.Practice and analysis of implementing drug traceability code management in outpatient pharmacy[J].ZHONGGUO YAOFANG,2025,36(07):858-862. DOI: 10.6039/j.issn.1001-0408.2025.07.16.
目的
2
探索药品追溯码管理模式在门诊药房工作流程中的优化路径,为提升药学服务效率提供实践依据。
方法
2
以中山大学附属第一医院门诊药房为研究对象,通过信息系统架构升级(包括医院信息系统与追溯平台对接)、流程优化(入库-配药-发药三环节重组)与双模式追溯数据采集机制设计(配药端主采集/发药端辅采集),构建药品全流程追溯体系。基于2024年9月医保数据与业务时效指标,对比分析追溯码管理模式实施前后的运行效能差异。
结果
2
实施药品追溯码管理后,在数据采集层面模式一(发药环节采集)上传记录26 144条,模式三(入库环节采集,入库即销售模式)上传443 061条,总计上传达469 205条;在时效层面,门诊药房平均配药时间由28.74 s增至43.37 s(增幅51%),但通过动态人力调配,患者平均取药时间仅从8.04 min延长至8.67 min(增幅8%)。
结论
2
药品追溯码管理可通过“系统重构-流程再造-人机协同”三位一体策略落地实施,其核心在于利用信息化技术(如双模式数据采集机制)对冲人工操作耗时增量,在满足国家实现追溯码监管要求的同时维持服务效率是可行的。
OBJECTIVE
2
To explore optimization pathways for the drug traceability code management model in outpatient pharmacy workflows, providing practical evidence for enhancing the efficiency of pharmaceutical service.
METHODS
2
Taking the outpatient pharmacy of the First Affiliated Hospital of Sun Yat-sen University as the research subject, a comprehensive drug traceability system was established through three key interventions: upgrading the information system architecture [including integration of the hospital information system (HIS) with the traceability platform], workflow optimization (reorganizing the inventory-dispensing-verification tripartite process), and designing a dual-mode traceability data collection mechanism (primary data capture at dispensing stations and supplementary capture at verification stations). Operational efficiency differences before and after implementation were analyzed using the medical insurance data and service timeliness metrics in September 2024.
RESULTS
2
After the implementation of drug traceability code management, in terms of data collection: Mode Ⅰ (verification-stage capture) uploaded 26 144 records, while Mode Ⅲ (inventory-as-sales capture) uploaded 443 061 records, totaling 469 205 entries; in terms of time efficiency: average drug dispensing time increased from 28.74 s to 43.37 s (enhanced by 51%). Through dynamic staffing adjustments, patient wait time only extended from 8.04 min to 8.67 min (enhanced by 8%).
CONCLUSIONS
2
Drug traceability code management can be effectively implemented via a “system reconstruction-process reengineering-human-machine collaboration” trinity strategy, leveraging informatization (e.g., dual-mode data capture) to offset manual operation delays, which validates the feasibility of balancing national traceability demands with service efficiency in outpatient pharmacies.
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