数字抄写系统对临床文档记录时间和质量的影响:可用性研究。

JMIR AI Pub Date : 2024-09-23 DOI:10.2196/60020
Marieke Meija van Buchem, Ilse M J Kant, Liza King, Jacqueline Kazmaier, Ewout W Steyerberg, Martijn P Bauer
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摘要

背景:医生将大约一半的时间花在行政工作上,这是导致医生职业倦怠和工作满意度下降的主要原因之一。实施自然语言处理辅助临床文档编制工具可能是一种解决方案:本研究调查了市场上销售的荷兰数字抄写员系统对临床文档效率和质量的影响:方法:具有临床实践和文档记录经验的医科学生(22 人)共创建了 430 份模拟会诊摘要,并记录了他们在这项任务上花费的时间。会诊总结采用了 3 种方法:手动总结、全自动总结和带手动编辑的自动总结。然后,我们随机重新分配摘要,并使用修订版的医生文档质量量表(PDQI-9)对其质量进行评估。我们比较了 3 种方法在描述性统计、定量文本指标(字数和词汇多样性)、PDQI-9、以回忆为导向的摘要评估评分和 BERTScore 方面的差异:结果:人工摘要的中位时间为 202 秒,而自动摘要的编辑时间为 186 秒。在没有编辑的情况下,自动摘要的 PDQI-9 得分低于人工摘要(PDQI-9 的中位数为 25 分,而人工摘要为 31 分):这项研究强调了数字抄写员在改善临床文档记录流程方面的潜力,它提供了第一份摘要草稿供医生编辑,从而在不影响病历质量的情况下减少了文档记录时间。此外,数字抄写员可能对某些医生比对另一些医生更有利,并能在提高临床文档的可重用性方面发挥作用。未来的研究应侧重于医生在临床实践中使用这种系统时的影响和质量。
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Impact of a Digital Scribe System on Clinical Documentation Time and Quality: Usability Study.

Background: Physicians spend approximately half of their time on administrative tasks, which is one of the leading causes of physician burnout and decreased work satisfaction. The implementation of natural language processing-assisted clinical documentation tools may provide a solution.

Objective: This study investigates the impact of a commercially available Dutch digital scribe system on clinical documentation efficiency and quality.

Methods: Medical students with experience in clinical practice and documentation (n=22) created a total of 430 summaries of mock consultations and recorded the time they spent on this task. The consultations were summarized using 3 methods: manual summaries, fully automated summaries, and automated summaries with manual editing. We then randomly reassigned the summaries and evaluated their quality using a modified version of the Physician Documentation Quality Instrument (PDQI-9). We compared the differences between the 3 methods in descriptive statistics, quantitative text metrics (word count and lexical diversity), the PDQI-9, Recall-Oriented Understudy for Gisting Evaluation scores, and BERTScore.

Results: The median time for manual summarization was 202 seconds against 186 seconds for editing an automatic summary. Without editing, the automatic summaries attained a poorer PDQI-9 score than manual summaries (median PDQI-9 score 25 vs 31, P<.001, ANOVA test). Automatic summaries were found to have higher word counts but lower lexical diversity than manual summaries (P<.001, independent t test). The study revealed variable impacts on PDQI-9 scores and summarization time across individuals. Generally, students viewed the digital scribe system as a potentially useful tool, noting its ease of use and time-saving potential, though some criticized the summaries for their greater length and rigid structure.

Conclusions: This study highlights the potential of digital scribes in improving clinical documentation processes by offering a first summary draft for physicians to edit, thereby reducing documentation time without compromising the quality of patient records. Furthermore, digital scribes may be more beneficial to some physicians than to others and could play a role in improving the reusability of clinical documentation. Future studies should focus on the impact and quality of such a system when used by physicians in clinical practice.

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