目的 探讨分析发现-组织领导-明确情况-分析了解-改进方案(find organize clarify understand select，FOCUS)-计划-执行-检查-行动(plan do check act，PDCA)模式和信息智能技术在静脉用药配置中心(pharmacy intravenous admixture services，P1V AS)药学服务和绩效评估中的应用。方法 运用FOCUS-PDCA、医院网络信息操作系统(hospital information system，HIS)和前置审方合理用药软件系统，分析2020-2023年PIVAS药学服务和绩效评估的数据。结果 通过FOCUS-PDCA和信息智能技术，有效提高了 PIVAS药品服务质量和绩效管理水平。发现处方审核规则提高了医生的建议和干预率，干预率从14。64％下降到6。96％，而干预成功率从48。15％上升到62。89％，前后差异有统计学意义(均P＜0。05);优化PIVAS培训教育体系，定期开展科学教育;改进了药品配送流程，提高工作效率;优化原有考核表，提高药师的积极性。结论 FOCUS-PDCA方法可以解决PIVAS药学服务中存在的问题，充分调动药师团队的积极性，提高PIVAS药学后服务质量，可在PIVAS中推广应用。
Application of Information-Intelligence Technologies in Pharmacy Intravenous Admixture Services in Chinese Obstetrics and Gynecology Tertiary Hospital
OBJECTIVE To investigate the application of the find organize clarify understand slet and information-intelligence technology to pharmacy intravenous admixture services(PIVAS)pharmaceutical service and performance evaluation.METHODS This paper used FOCUS-PDCA,the HIS,and the pre-examination prescription rational drug use software system to analyzed PIVAS data from 2020-2023.RESULTS PIVAS has greatly improved its pharmaceutical service and employee perform-ance.It was found that the prescription review rules improved physician advice and intervention rates.The intervention ratio(interven-tion/audit)dropped from 14.64％to 8.64％,while the intervention success ratio rose from 48.15％to 64.50％.Before and after the library was established,the differences were statistically significant(both P＜0.05);the PIVAS training and education system was optimized,and science education was regularly conducted;the drug supply process was improved to increase work efficiency;and a set of staff performance appraisal forms for static dispensing was developed,increasing staff motivation.CONCLUSION The FOCUS-PDCA cycle approach may address PIVAS pharmaceutical service problems,fully mobilize pharmacist team enthusiasm,and greatly improve PIVAS post pharmaceutical service quality,which can be promoted in PIVAS.
PIVASpharmaceutical serviceinformation-intelligence technologyobstetrics and gynecology hospital
万方数据
维普
