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基于智能辅助设备的PIVAS工作新流程研究                                               Δ



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          丁海文 ,刘 圣,陈昭琳,唐丽琴,童 彤 [中国科学技术大学附属第一医院(安徽省立医院)药学部,合肥
                *
          230001]

          中图分类号  R952      文献标志码  A      文章编号  1001-0408(2026)01-0099-06
          DOI  10.6039/j.issn.1001-0408.2026.01.18

          摘  要  目的  构建静脉用药调配中心(PIVAS)工作新流程,有效串联智能化设备,促进PIVAS智能化发展。方法  基于智能辅助
          设备优化PIVAS工作流程,建立智能审方(自动审方+人工干预)、智能贴签、智能调配、智能分拣、成品输液质量检测体系的流程化
          模式。考察智能审方的不合理医嘱率,智能贴签机、智能分拣机的工作效率及差错率,智能配药机器人的调配效率及精准度。
          结果  智能审方模式下不合理医嘱由 0.157% 下降为 0.050%(P<0.05);自动贴签效率为 21.7 张/min,高于人工贴签效率的 13.8
          张/min(P<0.05),日贴签差错率由6.1‰降至2.5‰(P<0.05);同时操作2台智能配药机器人显著提高了批量调配效率,降低药液
          残留量(P<0.05);并建立成品输液质量检测体系(外观性状、丁达尔效应、不溶性微粒、浊度、吸光度、pH与渗透压),以保证成品
          输液质量,降低输液风险。结论  我院PIVAS与智能化设备串联的新流程能够提高PIVAS 全流程作业效率、降低调配差错,保证
          成品输液质量,提升药学服务水平。
          关键词  静脉用药调配中心;智能化;流程优化;调配效率;成品输液质量

          Study on the new workflow of PIVAS based on intelligent auxiliary devices
          DING Haiwen,LIU Sheng,CHEN Zhaolin,TANG Liqin,TONG Tong[Dept.  of  Pharmacy,  the  First  Affiliated
          Hospital of USTC (Anhui Provincial Hospital), Hefei 230001, China]


          ABSTRACT    OBJECTIVE To build a new workflow of pharmacy intravenous admixture services (PIVAS), effectively connect
          intelligent  equipment,  and  promote  the  intelligent  development  of  PIVAS.  METHODS  Based  on  intelligent  auxiliary  equipment,
          PIVAS workflow was optimized, and a process-oriented model was established. This model integrated intelligent prescription review
         (automatic  prescription  review+manual  intervention  mode),  intelligent  labeling,  intelligent  allocation,  intelligent  sorting,  and
          finished infusion quality inspection system. Furthermore, an assessment was conducted to examine unreasonable medical order rate
          of  intelligent  prescription  review,  the  working  efficiency  and  error  rate  of  intelligent  labeling  machine  and  intelligent  sorting
          machine,  and  the  dispensing  efficiency  and  accuracy  of  intelligent  dispensing  robot.  RESULTS  Under  the  intelligent  prescription
          review mode, the rate of unreasonable medical orders decreased from 0.157% to 0.050% (P<0.05); automatic labeling efficiency
          reached 21.7 sheets/min, surpassing the manual labeling efficiency of 13.8 sheets/min (P<0.05), and the daily labeling error rate
          decreased  from  6.1‰  to  2.5‰ (P<0.05).  Simultaneously  operating  two  dispensing  robots  significantly  improved  the  efficiency  of
          batch dispensing and reduced the residual amount of liquid medicine (P<0.05); additionally, a quality testing system for finished
          infusion  was  established,  involving  appearance,  Tyndall  effect,  insoluble  particles,  turbidity,  absorbance,  pH  and  osmotic
          pressure,  to  ensure  the  quality  of  finished  infusion  and  reduce  the  risk  of  infusion.  CONCLUSIONS  The  new  process  of  PIVAS
          connected  with  intelligent  devices  in  our  hospital  can  improve  work  efficiency,  reduce  dispensing  errors,  ensure  the  quality  of
          finished infusion, and improve the level of pharmaceutical care.
          KEYWORDS    pharmacy  intravenous  admixture  service;  intelligent;  workflow  optimization;  dispensing  efficiency;  quality  of

          finished infusion


                                                                 静脉用药调配中心(pharmacy intravenous admix‐
             Δ 基金项目 安徽省中医药传承创新科研项目(No.2024CCCX079);
                                                             ture services,PIVAS)是医院各病区进行静脉用药集中调
          中国科学技术大学校级教学研究项目(No.2024xjyxm100);中国科学
          技术大学研究生教育创新计划教学改革研究项目(No.2024ycjg26)               配、混合、核对检查及下送分发的药学部门,其在提高医
             *第一作者 主管药师,硕士。研究方向:医院药学与静脉用药调                   院静脉用药物调配质量、保障患者合理用药和加强医护
          配技术。E-mail:dinghaiwen@ustc.edu.com
                                                             人员职业防护等方面具有重要作用 。随着人工智能在
                                                                                           [1]
             # 通信作者 副主任药师,硕士。研究方向:医院药学。E-mail:
          tongmaoji@163.com                                  医疗领域的不断应用,智能化建设已成为未来PIVAS的

          中国药房  2026年第37卷第1期                                                  China Pharmacy  2026 Vol. 37  No. 1    · 99 ·
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