药剂师领导的抗菌药物管理计划实施后,临床记录的质量变化:文本挖掘分析
Keisuke Sawada1,2, Shuji Kono1, Ryo Inose2
1Department of Pharmacy, Federation of National Public Service Personnel Mutual Aid Associations Hirakata Kohsai Hospital, 1-2-1, Fujisaka-higashi-machi, Hirakata-shi, 573-0153, Osaka, Japan.
Journal of pharmaceutical health care and sciences
|April 24, 2025
概括
文本挖掘揭示了在抗菌药物管理计划 (ASP) 实施后病房药剂师的文档的变化. 药剂师将重点从药物审查转移到感染评估和实验室监测,帮助在缺乏传染病专家的医院优化抗菌药物.
科学领域:
- 药理学 药理学是指药理学的学科.
- 医疗信息学 医疗信息学
- 临床药房 临床药房
背景情况:
- 抗微生物药物管理计划 (ASP) 对于优化抗微生物药物使用至关重要.
- 中型医院往往缺乏传染病 (ID) 专家,需要采用替代方法.
- 病房药剂师在ASP中发挥着关键作用,但实施后的实践模式变化需要评估.
研究的目的:
- 探索文本挖掘作为评估病房药剂师抗菌药物管理实践变化的新方法.
- 评估ASP实施对中型医院没有ID医生的药剂师文件的影响.
主要方法:
- 对1353个ASP前和5155个ASP后的临床记录 (2014年4月至2022年3月) 的回顾性分析.
- 基于Python的文本挖掘,包括形态分析和并发网络分析,以评估文档模式.
- 使用Dice系数和社区检测的Louvain算法进行文档重点转移的比较.
主要成果:
- 与抗微生物相关的记录在ASP实施后显著增加.
- 对关键实验室参数 (CRP,eGFR,WBC) 产生强烈的并发关系.
- 文件的重点从以药物为中心的转变为以感染为中心的社区,并更加重视实验室监测和感染评估.
结论:
- 文本挖掘为评估临床实践模式的定性变化提供了一种新的客观方法.
- 该研究成功地确定了药剂师的文档重点在ASP实施后的转变.
- 研究结果为未来在多个医疗保健机构的多中心验证研究提供了基础.
关键词:
抗菌药物管理计划 抗菌药物管理计划同时发生的网络分析网络分析传染病 传染病 传染病 传染病医疗记录 医疗记录 医疗记录一个中等规模的医院.文本挖掘 (Text Mining) 是一种文字挖掘方式.病房药剂师 病房药剂师更多相关视频
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