智慧药房信息管理系统在门诊发药窗口设置中的应用

Application of Intelligent Pharmacy Information Management System in Setting of Outpatient Dispensing Window

关键词:  智慧药房信息管理系统  自动化药房  EIQ-ABC分类法  特定发药窗口

Key words:  intelligent pharmacy information management system  automated pharmacy  EIQ-ABC classification methed  specific prescription window

摘要:

目的 借助智慧药房信息管理系统，通过分析处方数据实现门诊药房特殊管理药品及专科用药在特定窗口发药。方法 采用EIQ-ABC分类法分析处方中药品品种和数量、单品种日发药量和发药频次，结合临床科室用药特点，确定特定发药窗口的药品品种和调剂方式，通过优化调试实现各发药窗口间处方工作量分配均衡和快速准确发药。通过自动化药房管理系统对比改善前后药师调剂处方平均耗时和患者取药平均耗时；通过药事管理记录统计处方调剂差错和退药例数改善情况。结果 选定254种药品在4个特定发药窗口调剂，对比设置特定发药窗口前后效果，药师调剂处方平均耗时缩短至16 s，患者取药平均耗时缩短至160 s，处方调剂差错率下降至0.20‱，退药例数降低至15例每月。结论 借助智慧药房信息管理系统可对药房竞争或平均分配处方的传统调剂模式进行优化，合理设置门诊药房特殊管理药品及专科用药发药窗口，为患者提供优质的药学服务。

Abstract:

OBJECTIVE To realize special management drugs and specialized drugs in outpatient pharmacy to be dispensed at specific windows by analyzing the prescription data with the help of the intelligent pharmacy information management system. METHODS The EIQ-ABC classification method was used to analyze the variety and quantity of drugs in the prescription, the daily drug delivery volume and drug delivery frequency of a single variety, and to determine the drug variety and dispensing mode of a specific drug delivery window in combination with the drug use characteristics of clinical departments. Through optimization and debugging, the balanced distribution of prescription work volume among various drug delivery windows and rapid and accurate drug delivery were realized. Through the automated pharmacy management system, the average time of pharmacists dispensing prescriptions and the average time of patients taking medicine were compared before and after the improvement; the improvement of prescription dispensing errors and drug withdrawal cases were counted through pharmacy management records. RESULTS Two hundred and fifty-four drugs were selected to be dispensed in 4 specific dispensing windows, and the effects before and after setting the specific dispensing windows were compared. The average time taken by pharmacists to dispense prescriptions was shortened to 16 s, the average time taken by patients to take medicine was shortened to 160 s, the error rate of prescription dispensing was reduced to 0.20‱, and the number of drug returns was reduced to 15 persons per month. CONCLUSION With the help of the intelligent pharmacy information management system, the traditional dispensing mode of pharmacy competition or average prescription distribution can be optimized, and the outpatient windows for dispensing special management drugs and special drugs can be set reasonably to provide high-quality pharmaceutical care for patients.