4CPS-370药师使用临床决策支持工具检测药物相关问题前后的干预措施

O. Urbina, P. Martín, Martinez, A. L. D. Torre, C. Blanco, Y. Llorens
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摘要

背景和重要性住院患者存在药物相关问题和药物不良事件。配备临床决策支持系统(CDSS)的计算机供应商订单输入系统(CPOE)是药师日常处方验证的关键环节,可以提高处方的有效性和患者的安全性。目的和目的评价在CPOE系统中添加CDSS工具前后药师干预(PI)的类型和数量。材料与方法2019年1月至2020年5月在一家拥有300张床位的医院进行回顾性观察研究。收集的数据包括:DRG类型、PI和检测方法。第一阶段(2019年1月至8月):使用CPOE和电子健康记录(EHR)进行药师验证。CDSS于2019年8月推出。CDSS包括与根据肾功能调整剂量有关的药物信息,监测易被药物改变的分析参数,以及药剂师不断更新的药物-药物/药物-食品相互作用。当EHR和CPOE包含患者的人口统计学、人体测量学和临床数据以及药物治疗与CDSS集成时,会实时产生警报(潜在的DRP),并由药剂师进行评估。当这些警告被认为是相关的,药剂师会在病人的病历上写一个PI。第二阶段(2019年8月至2020年5月):CDSS警报可用于处方验证。结果第一期:1574 PI。第二个周期:1687 PI(使用第一周期方法为1451,使用CDSS警报为236)。CDSS导致的PI约占总PI的14%,其类型和数量比较两个时期见表1。结论和相关性两个时期的PI数量相似,但CDSS工具允许药剂师检测到单独使用CPOE无法检测到的某些类型的DRP。此外,该工具的使用优化了药剂师的医疗处方审查时间,方便了PI注册任务。为了增加CDSS的有用性,有必要增加在此应用程序中引入的相关警报的数量。参考文献和/或致谢利益冲突无利益冲突
本文章由计算机程序翻译,如有差异,请以英文原文为准。
4CPS-370 Pharmacists’ interventions before and after the use of a clinical decision support tool to detect drug related problems
Background and importance Drug related problems (DRP) and medication adverse events occur in hospitalised patients. Computer provider order entry (CPOE) systems with clinical decision support systems (CDSS) are a key process for the pharmacist’s routine prescription validation to improve medication prescribing and patient safety. Aim and objectives To evaluate the type and number of pharmacist interventions (PI) before and after the use of a CDSS tool added to the CPOE system. Material and methods A retrospective observational study was carried out in a 300 bed hospital between January 2019 and May 2020. Data collected were: DRG type, PI and detection method. First period (January–August 2019): pharmacist validation using CPOE and electronic health records (EHR) was performed. The CDSS was introduced in August 2019. The CDSS includes drug information related to dose adjustment according to renal function, monitoring of analytic parameters susceptible to being altered by the drug, and drug–drug/drug–food interactions that are continuously updated by pharmacists. When EHR and CPOE containing demographic, anthropometric and clinical data of the patient as well as pharmacological treatment are integrated with the CDSS, alerts are generated (potential DRP) in real time that are evaluated by pharmacists. When the alerts are considered relevant, pharmacists write a PI in the patient’s chart. Second period (August 2019 –May 2020): CDSS alerts were available for prescription validation. Results First period: 1574 PI. Second period: 1687 PI (1451 using the first period method and 236 using the CDSS alerts). PI as a result of the CDSS were about 14% of total PI, and their type and number comparing both periods are presented in table 1. Conclusion and relevance The number of PI made in the two periods was similar but the CDSS tool allowed pharmacists to detect certain types of DRP that use of the CPOE alone did not allow. Moreover, the use of this tool optimised the pharmacist’s medical prescription review time and facilitated the PI registration task. To increase the usefulness of the CDSS it is necessary to increase the number of relevant alerts introduced in this application. References and/or acknowledgements None. Conflict of interest No conflict of interest
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