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将医学数字成像和通信(DICOM)模态工作列表中的患者/研究选择错误降至最低。

Minimizing Digital Imaging and Communications in Medicine (DICOM) Modality Worklist patient/study selection errors.

作者信息

Kuzmak P M, Dayhoff R E

机构信息

Department of Veterans Affairs, Silver Spring, MD 20910, USA.

出版信息

J Digit Imaging. 2001 Jun;14(2 Suppl 1):153-7. doi: 10.1007/BF03190323.

Abstract

Frequently when patient and study identification information (patient name, patient identification, date of birth, sex, and accession number) are manually entered at a modality, typographical errors occur that have to be corrected before the acquired images can be matched to the proper patient and study on a picture archiving and communication system (PACS). The Digital Imaging and Communication in Medicine (DICOM) Modality Worklist service alleviates these problems by automatically transferring this data from the radiology information system (RIS) to the image acquisition modality. The technologist then does not have to manually re-enter the data to place it into the image files. With modality worklist, precise patient and study data are obtained and placed into the image headers with no typographical errors. When the images are sent to the PACS, they match the corresponding patient and study records, and are immediately incorporated into the electronic patient record. While modality worklist does replace the manual keying of the data and virtually eliminates typographical problems, it introduces a new source of human error: the incorrect selection of the patient and/or study from the computerized worklist, and the resultant mislabeling of the images. When these mislabeled images are sent to the PACS, they are immediately associated with the wrong patient and/or study, where they potentially may cause serious harm. The goal of this report is to raise awareness to this problem, to identify the major causes of these errors, and to offer some practical suggestions on how to minimize them.

摘要

通常,当在某一设备上手动输入患者和检查识别信息(患者姓名、患者识别号、出生日期、性别和 accession 号)时,会出现排版错误,必须在将采集的图像与图片存档和通信系统(PACS)上的正确患者和检查进行匹配之前进行纠正。医学数字成像和通信(DICOM)设备工作列表服务通过将这些数据从放射学信息系统(RIS)自动传输到图像采集设备,缓解了这些问题。然后,技术人员不必手动重新输入数据以将其放入图像文件中。使用设备工作列表,可以获得精确的患者和检查数据,并将其无排版错误地放入图像标题中。当图像发送到 PACS 时,它们与相应的患者和检查记录匹配,并立即并入电子患者记录中。虽然设备工作列表确实取代了数据的手动键入,并且几乎消除了排版问题,但它引入了一个新的人为错误源:从计算机化工作列表中错误选择患者和/或检查,以及由此导致的图像错误标记。当这些标记错误的图像发送到 PACS 时,它们会立即与错误的患者和/或检查相关联,在那里它们可能会造成严重危害。本报告的目的是提高对这个问题的认识,确定这些错误的主要原因,并就如何将其最小化提供一些实用建议。

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