Ringler Michael D, Goss Brian C, Bartholmai Brian J
Mayo Clinic, USA.
Health Informatics J. 2017 Mar;23(1):3-13. doi: 10.1177/1460458215613614. Epub 2016 Jul 26.
Speech recognition software can increase the frequency of errors in radiology reports, which may affect patient care. We retrieved 213,977 speech recognition software-generated reports from 147 different radiologists and proofread them for errors. Errors were classified as "material" if they were believed to alter interpretation of the report. "Immaterial" errors were subclassified as intrusion/omission or spelling errors. The proportion of errors and error type were compared among individual radiologists, imaging subspecialty, and time periods. In all, 20,759 reports (9.7%) contained errors, of which 3992 (1.9%) were material errors. Among immaterial errors, spelling errors were more common than intrusion/omission errors ( p < .001). Proportion of errors and fraction of material errors varied significantly among radiologists and between imaging subspecialties ( p < .001). Errors were more common in cross-sectional reports, reports reinterpreting results of outside examinations, and procedural studies (all p < .001). Error rate decreased over time ( p < .001), which suggests that a quality control program with regular feedback may reduce errors.
语音识别软件可能会增加放射学报告中的错误频率，这可能会影响患者护理。我们从147位不同的放射科医生那里获取了213,977份由语音识别软件生成的报告，并对其进行了错误校对。如果错误被认为会改变报告的解读，则被分类为“实质性”错误。“非实质性”错误被进一步细分为插入/遗漏或拼写错误。我们比较了不同放射科医生、影像亚专业和时间段之间的错误比例和错误类型。总共有20,759份报告（9.7%）包含错误，其中3992份（1.9%）是实质性错误。在非实质性错误中，拼写错误比插入/遗漏错误更常见（p < 0.001）。不同放射科医生之间以及影像亚专业之间的错误比例和实质性错误比例差异显著（p < 0.001）。错误在横断面报告、重新解读外部检查结果的报告和程序性研究中更为常见（所有p < 0.001）。错误率随时间下降（p < 0.001），这表明具有定期反馈的质量控制程序可能会减少错误。
