设计和评估一种电子前药品订单审查系统,用于住院患者的药品订单
Pooja Ojha1, Benjamin J Anderson1, Evan W Draper1
1Department of Pharmacy Services, Mayo Clinic, Rochester, MN 55905, United States.
JAMIA open
|January 29, 2024
概括
电子前药品订单审查 (EPMOR) 系统对自动化药品订单审查充满希望. 这项概念验证研究证明了其在区分和分类订单方面的能力,有可能提高效率和安全性.
科学领域:
- 医疗信息学 医疗信息学
- 临床药房 临床药房
- 医疗自动化 医疗自动化
背景情况:
- 传统药物订单审查严重依赖于药剂师手动干预.
- 目前缺乏用于对潜在药物订单审查的自动化工具.
- 电子健康记录 (EHR) 提供了算法药物审查的潜力.
研究的目的:
- 评估电子潜在药物订单审查系统 (EPMOR) 的能力和有效性.
- 为了比较EPMOR系统的性能与传统药剂师的评价.
- 使用EHR数据评估协议化药物订单审查的可行性.
主要方法:
- 选择了经常验证的药物订单的一个子集.
- 临床药剂师制定了最佳实践EPMOR标准.
- 标准被整合到EHR的条件逻辑中,用于自动化审查.
- 对比了EPMOR和药剂师的验证结果.
主要成果:
- 分析了13,404个药品订单.
- 在13133个通过药剂师审查的订单中,EPMOR通过了7388个.
- 在271个未经药剂师审查的订单中,EPMOR通过了105个,其中包括19个重复订单和51个由于安排.
- EPMOR系统有效地对订单进行了歧视和分类.
结论:
- 在EHR内对潜在药物订单审查的协议化和自动化是可行的.
- 临床驱动的算法可以支持自动化药物订单审查.
- 需要进一步的研究来改进算法,以最大限度地提高价值,效率和安全性.
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