住院药房药品调剂流程信息化优化实践

粟林; 李拓颖; 赖翔宇; 刘静; 胡小刚

doi:10.6039/j.issn.1001-0408.2022.24.20

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住院药房药品调剂流程信息化优化实践

药师与药学服务 | 更新时间：2025-09-26

- 住院药房药品调剂流程信息化优化实践
- Informational optimization practice of inpatient pharmacy dispensing processes
- 中国药房 2022年33卷第24期页码：3045-3048
- 作者机构：
  
  重庆大学附属肿瘤医院药学部，重庆　400030
- 作者简介：
  
  主管药师，硕士。研究方向：临床药学肿瘤专科、医院药学。电话：023-65070545。E-mail：275669331@qq.com
  主管药师，硕士。研究方向：分子药理与临床、医院药学。电话：023-65359279。E-mail：hxgcq1987@126.com
- 基金信息：
  
  重庆市临床药学重点专科建设项目(渝卫办发〔2020〕68号);重庆市科卫联合医学科研项目(2021MSXM171)
- DOI：10.6039/j.issn.1001-0408.2022.24.20
  中图分类号： R952
- 收稿日期：2022-09-17，
  
  修回日期：2022-11-21，
  
  纸质出版日期：2022-12-30
- 稿件说明：
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粟林,李拓颖,赖翔宇,等.住院药房药品调剂流程信息化优化实践[J].中国药房,2022,33(24):3045-3048.

SU Lin,LI Tuoying,LAI Xiangyu,et al.Informational optimization practice of inpatient pharmacy dispensing processes[J].ZHONGGUO YAOFANG,2022,33(24):3045-3048.
粟林,李拓颖,赖翔宇,等.住院药房药品调剂流程信息化优化实践[J].中国药房,2022,33(24):3045-3048. DOI： 10.6039/j.issn.1001-0408.2022.24.20.

SU Lin,LI Tuoying,LAI Xiangyu,et al.Informational optimization practice of inpatient pharmacy dispensing processes[J].ZHONGGUO YAOFANG,2022,33(24):3045-3048. DOI： 10.6039/j.issn.1001-0408.2022.24.20.

摘要

目的

为住院药房服务能力及管理质量提升提供参考。

方法

对临床科室进行调查访谈，收集我院住院药房药品调剂流程中存在的问题，结合住院药房内部自查结果，绘制现存问题的要因分析鱼骨图，应用PDCA管理方法，从人员、机器、环境、方法、药品5个角度进行要因总结，对其中的可干预要因进行改进；收集相关数据，从工作效率和服务满意度2个维度对优化结果进行评价。

结果

我院对口服分零药品、临时医嘱、麻醉和精神药品、长期医嘱、退药5个流程进行了优化，新增前置审方功能，利用二维码技术在医院信息系统中增加了“处方加码”“扫码定位”“扫码复核”“扫码接收”“扫码出签”“一键摆药”“状态可视化”等信息化功能，并将长期医嘱由之前的按科室逐一调剂优化为按药品类别调剂等。相较于优化前，摆药单打印时间、长期医嘱调剂时间、退药时间、麻醉和精神药品出签时间均显著缩短，药品漏送与漏摆次数、护士电话询问药品调剂情况的次数均显著减少，护士和药师的满意率分别提高了26.32%和37.50%。

结论

经流程梳理结合信息化优化，我院住院药房调剂流程进一步趋向精细化和标准化，实现了服务质量和效率双提升。

Abstract

OBJECTIVE

To provide reference for improving pharmacy service capabilities and management quality.

METHODS

By interviewing clinical department， the problems in the drug dispensing process of inpatient pharmacy in our hospital were collected； combined with the internal self-inspection results of the inpatient pharmacy， the fishbone diagram for the cause analysis of the existing problems were drawn. PDCA management method was used to summarize the main factors from five perspectives of personnel， machines， environment， methods and drugs， and improve the intervenable main factors； relevant data were collected and the optimization results were evaluated from two dimensions of work efficiency and service satisfaction.

RESULTS

The five processes of our hospital were optimized， such as dismounted oral drugs， temporary medical orders， narcotic and psychotropic drugs， long-term medical orders and drug withdrawal， and the function of prescription pre-review was newly added. Information functions such as “putting code for prescription” “positioning by scanning code” “reviewing by scanning code” “receiving by scanning code” “issuing by scanning code” “one-click dispensing” and “status visualization” had been added to the hospital information system using QR code technology， and long-term medical orders had been optimized from the previous dispensing by department to dispensing by drug category. Compared with before optimization， the printing time of dispensing lists， the time of long-term medical order dispensing， the time of drug withdrawal and the time of issuing anesthetic drug were shortened significantly； but the times of missed delivery or dispensing， the times of calling to inquire about drug dispensing by nurse were all decreased significantly； satisfaction rate of nurses and pharmacists increased by 26.32% and 37.50%， respectively.

CONCLUSIONS

Through process sorting and informational optimization， the inpatient pharmacy dispensing processes of our hospital are further refined and standardized， achieving the double improvement of service quality and efficiency.

关键词

Keywords

references

王晓燕，李莎，卢旺，等 . 住院药房药品调剂管理系统的开发与应用 [J ] . 中国药业， 2020 ， 29 （ 2 ）： 46 - 48 .

孙嫣，王刚，缪霞，等 . 全流程智能化调剂模式在住院药房中的应用 [J ] . 中国药房， 2021 ， 32 （ 14 ）： 1780 - 1784 .

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张菁，周峥，赵蕊 . 我院门诊药房智能发药系统持续优化 [J ] . 中国现代应用药学， 2017 ， 34 （ 10 ）： 1485 - 1488 .

LIN P Y ， LAN W S ， CHEN Y H ， et al . A confidential QR code approach with higher information privacy [J ] . Entropy（Basel）， 2022 ， 24 （ 2 ）： 284 .

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