请帮我翻译一下·~不要谷歌谢谢The present study evaluated indication-based alerts during medication ordering. We found an interception rate of 0.25 errors per 1000 alerts. This is difficult to compare directly with other studies since our
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请帮我翻译一下·~不要谷歌谢谢The present study evaluated indication-based alerts during medication ordering. We found an interception rate of 0.25 errors per 1000 alerts. This is difficult to compare directly with other studies since our
请帮我翻译一下·~不要谷歌谢谢
The present study evaluated indication-based alerts during medication ordering. We found an interception rate of 0.25 errors per 1000 alerts. This is difficult to compare directly with other studies since our alerts are a non-random subset of all medication orders. As one comparison, Adelman et al13 identified a retract and re-order rate of 0.76/1000, of which 0.58/1000 were estimated to be wrong-patient errors. It would not be reasonable to compare our rate to that of Adelman et al, given that his relied on self-intercepted errors after submission of the order and ours was from interceptions prior to signature. Our interception rate may differ for those errors which may otherwise have been intercepted after submission. It would be very difficult to measure all wrong-patient medication errors as many do not produce harm, so careful measurement of adverse drug events would not suffice.
请帮我翻译一下·~不要谷歌谢谢The present study evaluated indication-based alerts during medication ordering. We found an interception rate of 0.25 errors per 1000 alerts. This is difficult to compare directly with other studies since our
本研究评估了在用药的基础的警报指示.我们发现0.25的错误警报的截留率每1000.这是很难与其他研究比较直接从我们的警报是所有医嘱的非随机的子集.作为一个比较,阿德尔曼等[13]确定了收回和0.76/1000重新订购率,其中0.58/1000估计为病人错误错误.它不会是合理的比较我们的速度,阿德尔曼等人,因为他依赖于自我截获错误后的秩序,我们从之前的签名被提交.我们的截留率可能为那些错误,否则可能被拦截后提交的不同.这将是非常难以衡量的许多不产生危害所有错误的病人用药错误,药物不良事件如此仔细的测量还不够.