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异步语音识别影响医生对笔记的编辑。

Asynchronous Speech Recognition Affects Physician Editing of Notes.

机构信息

Department of Electrical Engineering, University of Washington, Seattle, Washington, United States.

Division of General Internal Medicine, University of Washington, Seattle, Washington, United States.

出版信息

Appl Clin Inform. 2018 Oct;9(4):782-790. doi: 10.1055/s-0038-1673417. Epub 2018 Oct 17.

Abstract

OBJECTIVE

Clinician progress notes are an important record for care and communication, but there is a perception that electronic notes take too long to write and may not accurately reflect the patient encounter, threatening quality of care. Automatic speech recognition (ASR) has the potential to improve clinical documentation process; however, ASR inaccuracy and editing time are barriers to wider use. We hypothesized that automatic text processing technologies could decrease editing time and improve note quality. To inform the development of these technologies, we studied how physicians create clinical notes using ASR and analyzed note content that is revised or added during asynchronous editing.

MATERIALS AND METHODS

We analyzed a corpus of 649 dictated clinical notes from 9 physicians. Notes were dictated during rounds to portable devices, automatically transcribed, and edited later at the physician's convenience. Comparing ASR transcripts and the final edited notes, we identified the word sequences edited by physicians and categorized the edits by length and content.

RESULTS

We found that 40% of the words in the final notes were added by physicians while editing: 6% corresponded to short edits associated with error correction and format changes, and 34% were associated with longer edits. Short error correction edits that affect note accuracy are estimated to be less than 3% of the words in the dictated notes. Longer edits primarily involved insertion of material associated with clinical data or assessment and plans. The longer edits improve note completeness; some could be handled with verbalized commands in dictation.

CONCLUSION

Process interventions to reduce ASR documentation burden, whether related to technology or the dictation/editing workflow, should apply a portfolio of solutions to address all categories of required edits. Improved processes could reduce an important barrier to broader use of ASR by clinicians and improve note quality.

摘要

目的

临床医生的进度记录是护理和沟通的重要记录,但人们认为电子记录需要花费太长时间来编写,并且可能无法准确反映患者就诊情况,从而威胁到护理质量。自动语音识别(ASR)有可能改善临床文档处理流程;然而,ASR 不准确和编辑时间是限制其更广泛使用的障碍。我们假设自动文本处理技术可以减少编辑时间并提高记录质量。为了为这些技术的开发提供信息,我们研究了医生如何使用 ASR 创建临床记录,并分析了在异步编辑过程中修改或添加的记录内容。

材料与方法

我们分析了 9 名医生的 649 份口述临床记录。记录是在查房期间口述到便携设备上的,然后自动转录,并在医生方便时进行后续编辑。通过比较 ASR 转录本和最终编辑的记录,我们确定了医生编辑的单词序列,并根据长度和内容对编辑进行了分类。

结果

我们发现,最终记录中有 40%的单词是医生在编辑时添加的:6%对应于与纠错和格式更改相关的短编辑,34%与较长编辑相关。影响记录准确性的短纠错编辑估计不到口述记录中单词的 3%。较长的编辑主要涉及与临床数据或评估和计划相关的材料的插入。这些较长的编辑提高了记录的完整性;其中一些可以通过口述中的语音命令来处理。

结论

无论与技术还是口述/编辑工作流程相关,减少 ASR 文档编制负担的流程干预措施都应该应用一系列解决方案来解决所有类别的编辑需求。改进的流程可以减少临床医生广泛使用 ASR 的一个重要障碍,并提高记录质量。

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