Mayo Medical School, Rochester, Minnesota 55905, USA.
J Am Coll Radiol. 2013 Jul;10(7):538-43. doi: 10.1016/j.jacr.2013.02.017.
The aim of this study was to determine the incidence, types, and clinical implications of laterality errors and the effect of voice recognition software on the frequency of laterality errors.
All radiology reports generated between January 2007 and April 2011 were retrospectively evaluated to identify revised reports containing laterality errors. Type of error was catalogued with regard to modality, body part, type of discrepancy (major or minor, with discrepancies considered major if the potential existed to affect patient management), duration of time between report finalization and corrected report, clinical significance, and use of voice recognition. The rate of errors causing major and minor discrepancies between voice recognition-generated reports and nonvoice recognition-generated reports was compared.
Among 2,923,094 reports, 1,607 (0.055%) contained corrected laterality errors, and 56 (0.0019% of the total report volume) were major. A total of 584,878 (20%) were generated using voice recognition. The rate of laterality errors leading to major discrepancies in voice recognition-generated reports was 0.00188%, compared with 0.00192% in nonvoice recognition-generated reports (P = .9436). None of the errors led to wrong-sided surgery. However, there were potential adverse effects due to laterality errors in 3 patients with major discrepancies (0.000103% of the total report volume).
Rates of laterality errors were low and, in our population, did not result in wrong-sided surgeries. Rates of laterality errors in reports with major discrepancies were unaffected by voice recognition software, but voice recognition was associated with a significant reduction in the duration of time between report finalization and the issuing of a corrected report.
本研究旨在确定侧别错误的发生率、类型和临床意义，以及语音识别软件对侧别错误频率的影响。
回顾性评估 2007 年 1 月至 2011 年 4 月期间生成的所有放射学报告，以确定包含侧别错误的修订报告。根据模态、身体部位、差异类型（主要或次要，差异被认为是主要的，如果存在影响患者管理的潜在可能性）、报告定稿与更正报告之间的时间间隔、临床意义以及语音识别的使用，对错误类型进行分类。比较了导致语音识别生成的报告与非语音识别生成的报告之间出现主要和次要差异的错误率。
在 2923094 份报告中，有 1607 份（0.055%）包含纠正后的侧别错误，其中 56 份（占总报告量的 0.0019%）为主要错误。共有 584878 份（20%）使用语音识别生成。在语音识别生成的报告中导致主要差异的侧别错误率为 0.00188%，而非语音识别生成的报告为 0.00192%（P =.9436）。没有一个错误导致手术部位错误。然而，在 3 名有主要差异的患者中，侧别错误存在潜在的不良影响（占总报告量的 0.000103%）。
侧别错误的发生率较低，在我们的人群中，并未导致手术部位错误。有主要差异的报告中的侧别错误发生率不受语音识别软件的影响，但语音识别与报告定稿与发布更正报告之间的时间间隔显著缩短有关。
