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Patient Misidentifications Caused by Errors in Standard Bar Code Technology

机译:标准条形码技术中的错误导致的患者错误识别

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BACKGROUND: Bar code technology has decreased transcription errors in many healthcare applications. However, we have found that linear bar code identification methods are not failsafe. In this study, we sought to identify the sources of bar code decoding errors that generated incorrect patient identifiers when bar codes were scanned for point-of-care glucose testing and to develop solutions to prevent their occurrence.METHODS: We identified misread wristband bar codes, removed them from service, and rescanned them by using 5 different scanner models. Bar codes were reprinted in pristine condition for use as controls. We determined error rates for each bar code–scanner pair and manually calculated internal bar code data integrity checks.RESULTS: As many as 3 incorrect patient identifiers were generated from a single bar code. Minor bar code imperfections, failure to control for bar code scanner resolution requirements, and less than optimal printed bar code orientation were confirmed as sources of these errors. Of the scanner models tested, the Roche ACCU-CHEK? glucometer had the highest error rate. The internal data integrity check system did not detect these errors.CONCLUSIONS: Bar code–related patient misidentifications can occur. In the worst case, misidentified patient results could have been transmitted to the incorrect patient medical record. This report has profound implications not only for point-of-care testing but also for bar coded medication administration, transfusion recipient certification systems, and other areas where patient misidentifications can be life-threatening. Careful control of bar code scanning and printing equipment specifications will minimize this threat to patient safety. Ultimately, healthcare device manufacturers should adopt more robust and higher fidelity alternatives to linear bar code symbologies.
机译:背景技术:条形码技术在许多医疗保健应用中已减少了转录错误。但是,我们发现线性条形码识别方法不是故障安全的。在这项研究中,我们试图识别条形码解码错误的根源,这些错误会在扫描条形码进行即时护理葡萄糖测试时产生不正确的患者识别码,并开发解决方案以防止其发生。 ,将其从服务中删除,然后使用5种不同的扫描仪型号进行重新扫描。条形码以原始状态重新打印,以用作控制。我们确定了每个条形码-扫描仪对的错误率,并手动计算了内部条形码数据的完整性检查。结果:从一个条形码中产生多达3个不正确的患者标识符。这些错误的根源在于,条形码的瑕疵较小,无法控制条形码扫描仪分辨率要求以及打印条形码的方向不佳。在经过测试的扫描仪型号中,Roche ACCU-CHEK?血糖仪的错误率最高。内部数据完整性检查系统未检测到这些错误。结论:可能会发生与条形码相关的患者错误识别。在最坏的情况下,可能会将错误识别的患者结果传输到错误的患者病历中。该报告不仅对即时医疗服务测试产生了深远的影响,而且对条形码药物管理,输血接受者认证系统以及其他可能误判患者生命的领域也具有深远的影响。仔细控制条形码扫描和打印设备的规格,可以最大程度地减少这种对患者安全的威胁。最终,医疗保健设备制造商应采用更健壮和更高保真度的替代线性条形码符号体系。

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