临床决策支持系统的知识库转换对急诊室的药物订购和警报模式的影响
Weon Jung1, Jaeyong Yu1, Hyunjung Park1
1Department of Digital Health, Samsung Advanced Institute of Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, 06351, Korea.
Scientific reports
|December 1, 2023
概括
一个临床决策支持 (CDS) 系统的知识库转换显著改变了急诊室 (ED) 的药物警报模式. 这一变化影响了警报率和覆盖行为,需要对未来的过渡进行仔细规划.
科学领域:
- 医疗信息学 医疗信息学
- 临床决策支持系统 临床决策支持系统
- 药房信息学 药房信息学
背景情况:
- 临床决策支持 (CDS) 系统依赖于药物管理的知识库 (KB).
- 不同商业 KB 供应商之间的过渡会影响系统性能和临床工作流程.
- 了解这些影响对于保持患者安全和优化药物订购至关重要.
研究的目的:
- 分析CDS系统KB过渡对药物相关订单和警报模式的影响.
- 评估KB转换在急诊室 (ED) 之前和之后的警报和覆盖率的变化.
- 为了识别特定的药物水平变化警报频率过渡后.
主要方法:
- 在三年时间内 (2018年1月 - 2020年12月) 从ED获得的患者,订单和警报数据的回顾性分析.
- 定义了药物订单,警报和警报重置的明确标准.
- 两个不同时期的警报和覆盖率的比较:在2019年5月的 KB 过渡之前 (A 期) 和之后 (B 期).
主要成果:
- 过渡涉及101,450名患者和829,474名处方订单由1325名医生.
- 总体警报率从12.6%增加到14.1%,覆盖率从60.8%增加到67.4%.
- 大多数 (64.5%) 经常使用的药物显示KB过渡后的警觉率增加.
结论:
- CDS系统的KB过渡与ED级药物警报模式的显著变化有关.
- 这些发现凸显了KB供应商变化对临床决策支持的重大影响.
- 建议对未来的CDS KB转换进行仔细的规划和评估,以减轻意外后果.
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