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医院计算机化供应商订单输入系统中药物警报的实施后优化:范围审查
Thomas Stephen Ledger1, Kalissa Brooke-Cowden2, Enrico Coiera2
1Royal Australasian College of Physicians, NSW 2000, Australia.
Journal of the American Medical Informatics Association : JAMIA
|October 9, 2023
概括
优化医院药物警报通过减少警报数量和提高接受度来减少警报疲劳. 这些干预措施对临床医生有积极的影响,但患者护理效应需要进一步研究.
科学领域:
- 医疗信息学 医疗信息学
- 临床药房 临床药房
- 患者安全 患者安全
背景情况:
- 医院药物警报对于患者安全至关重要,但可能导致警报疲劳.
- 需要实施后的优化策略来提高这些警报的有效性.
研究的目的:
- 在实施后,确定和描述用于优化医院药物预警的干预措施.
- 评估这些优化策略的方法,种群和影响.
主要方法:
- 进行了对MEDLINE和Embase数据库 (至2023年8月) 的范围审查.
- 包括16项研究,分析了各种警报类型和优化干预措施.
- 使用雪球分析来确定其他相关研究.
主要成果:
- 确定了六种干预类型,包括警报无效化和严重程度重新分类.
- 大多数干预措施减少了警报数量和提高了警报接受度.
- 警报严重程度的重新分类显著增加了接受度,特别是在严重程度高的警报.
结论:
- 实施后的警报优化通过减少警报疲劳,积极影响临床医生.
- 需要进一步的研究来了解对患者护理和临床医生的看法的影响.
- 有效的警报优化提高了临床效用,减少了警报负担.
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