自动搜索方法用于识别错误的患者订单条目-一个范围审查
Mathew Garrod1, Andy Fox1, Paul Rutter2
1Department of Pharmacy, University Hospital Southampton NHS Foundation Trust, Southampton, UK.
JAMIA open
|August 7, 2023
概括
像撤回和重新排序 (RAR) 这样的自动搜索方法可以有效地识别错误的患者订单输入 (WPOE). 然而,需要进一步的研究来了解医疗保健提供者如何识别他们自己的药物错误.
科学领域:
- 医疗信息学 医疗信息学
- 患者安全 患者安全
- 临床药房 临床药房
背景情况:
- 错误的患者订单输入 (WPOE) 是电子处方系统中一个重要的患者安全问题.
- 自动搜索方法为检测这些错误提供了潜在的解决方案.
- 了解WPOE的流行,原因和检测方法对于改善医疗保健质量至关重要.
研究的目的:
- 系统地审查用于识别WPOE的自动搜索方法.
- 通过这些方法捕获和利用的数据进行分析.
- 调查WPOE的根本原因以及提供商如何自我识别错误.
主要方法:
- 来自CINAHL,Embase和MEDLINE (开始2021) 的经验文献的系统范围审查.
- 搜索的重点是电子处方中WPOE检测的自动化方法.
- 从包括的15项研究中提取的数据进行主题分析.
主要成果:
- 撤回和重新排序 (RAR) 和空白警报工具 (VAT) 是最普遍的自动化方法.
- 技术因素和中断被确定为WPOE的主要风险因素.
- 关于供应商自我识别错误的数据有限.
结论:
- 自动搜索工具,特别是RAR,对于检测WPOE具有良好的积极预测价值是有价值的.
- 增值税看起来有前途,但在取消理由方面具有可变的准确性.
- 进一步调查供应商自我识别错误是有必要的.
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