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研究综述:一种用于个案审查的基于计算机的诊断模型。

Research review: a computer-based diagnostic model for individual case review.

作者信息

Lau L M, Warner H R, Poulsen A L

机构信息

University of Utah Health Sciences Center.

出版信息

Top Health Inf Manage. 1995 Feb;15(3):67-79.

Abstract

A previous study found that Iliad, a diagnostic expert system, detects diagnostic errors missed by peer review organization (PRO) review. That study used volunteer physicians from an institution as gold standard reviewers, however. The article discusses a second experiment employing Utah PRO (UPRO) review physicians as gold standards. Iliad was compared with the Unified Clinical Data Set used by the UPRO and was found to detect otherwise unsuspected diagnostic errors. The confirmation rate of Iliad flags was much higher in the earlier study, however. No agreement was found between institution and UPRO physicians, but there was agreement between a unique physician (who was both an institution and UPRO physician) and each of the two groups. Because Iliad screens for potential diagnostic errors to be confirmed or denied by gold standard physician review, the different types of physicians in the two experiments might have been the cause.

摘要

先前的一项研究发现,诊断专家系统伊利亚德(Iliad)能够检测出同行评审组织(PRO)评审遗漏的诊断错误。然而,该研究将来自某机构的志愿医生用作金标准评审员。本文讨论了另一项实验,该实验将犹他州PRO(UPRO)的评审医生用作金标准。将伊利亚德与UPRO使用的统一临床数据集进行了比较,发现它能检测出其他未被怀疑的诊断错误。然而,在早期研究中,伊利亚德标记的确认率要高得多。机构医生和UPRO医生之间未达成一致意见,但有一位既是机构医生又是UPRO医生的独特医生与两组中的每一组达成了一致。由于伊利亚德会筛选潜在的诊断错误,以待金标准医生评审进行确认或否定,所以两项实验中不同类型的医生可能是造成这种情况的原因。

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