From Burden to Balance: Trends in Documentation Workload with Ambient Artificial Intelligence Scribe Adoption.

IF 2.7 2区 医学 Q4 MEDICAL INFORMATICS
Applied Clinical Informatics Pub Date : 2026-05-01 Epub Date: 2026-06-12 DOI:10.1055/a-2892-7988
Thomas Wojda, Jennifer Berliner, Gary S Fischer, Michael Curren, Jonathan Arnold, Lauren Giugale
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引用次数: 0

Abstract

Background: Physician burnout, often driven by documentation burden in electronic health records, remains a major challenge in clinical care. Ambient artificial intelligence (AI) scribes generate draft notes from clinical encounters, offering a scalable approach to reduce administrative workload, yet population-level evaluations remain limited.

Objectives: The objective of this study is to assess changes over time in clinician perceptions of workload, well-being, and care delivery following implementation of ambient AI scribes.

Methods: We conducted a prospective repeated cross-sectional survey study of physicians and advanced practice providers at four time points: baseline and approximately 1, 3, and 6 months' postimplementation. Outcomes included cognitive workload (NASA Task Load Index), professional fulfillment and burnout (Professional Fulfillment Index and Mini-Z), and perceptions of documentation burden, communication, and clinical capacity. Responses were grouped into clinically meaningful categories, and chi-square tests compared distributions across time. Secondary analyses compared baseline characteristics of respondents with linkable data across time points to the full cohort and evaluated subgroup differences for specific items.

Results: A total of 1,600 clinicians responded at baseline, with 172, 117, and 101 respondents at 1-, 3-, and 6-month follow-up, respectively. Over 95% of follow-up respondents reported generating ≥5 ambient AI-supported notes, with use increasing significantly over time (p < 0.05). Clinicians reported statistically significant reductions in mental demand, time pressure, and documentation effort at postimplementation intervals (p < 0.05). Time spent on documentation outside clinic declined, with more clinicians reporting <2 hours/day (p < 0.05). Burnout increased across follow-up time points (p < 0.05). Confidence in patient comprehension and willingness to increase patient volume improved. Subgroup analyses mirrored overall trends.

Conclusion: Ambient AI scribes were associated with sustained reductions in cognitive workload and perceived documentation burden. Despite these improvements, burnout increased over time, likely reflecting multifactorial influences and limitations of unpaired survey data. These findings support continued implementation and further longitudinal evaluation of clinician well-being.

从负担到平衡:采用Ambient AI Scribe的文档工作量趋势。
背景:医生职业倦怠,往往由电子健康记录(EHRs)的文件负担驱动,仍然是临床护理的主要挑战。环境人工智能(AI)抄写员从临床接触中生成草稿笔记,提供了一种可扩展的方法来减少管理工作量,但人口水平的评估仍然有限。目的:评估实施环境人工智能记录仪后临床医生对工作量、幸福感和护理服务的看法随时间的变化。方法:我们在四个时间点对医生和高级实践提供者进行了前瞻性重复横断面调查研究:基线和实施后大约1、3和6个月。结果包括认知工作量(NASA任务负荷指数)、专业成就感和职业倦怠(专业成就感指数和Mini-Z),以及对文档负担、沟通和临床能力的感知。将反应分为有临床意义的类别,卡方检验比较不同时间的分布。二级分析将受访者的基线特征与整个队列的可链接数据进行了比较,并评估了特定项目的亚组差异。结果:1600名临床医生在基线时有反应,在1个月、3个月和6个月的随访中分别有172、117和101名应答者。超过95%的随访受访者报告生成≥5个人工智能支持的环境笔记,随着时间的推移,使用量显著增加(p < 0.05)。临床医生报告在实施后的时间间隔内,精神需求、时间压力和记录工作有统计学意义上的显著减少(p < 0.05)。结论:环境人工智能抄写员与认知工作量和感知文件负担的持续减少有关。尽管有这些改进,但随着时间的推移,倦怠感增加,可能反映了多因素影响和未配对调查数据的局限性。这些发现支持对临床医生幸福感的持续实施和进一步的纵向评估。
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来源期刊
Applied Clinical Informatics
Applied Clinical Informatics MEDICAL INFORMATICS-
CiteScore
4.60
自引率
24.10%
发文量
132
期刊介绍: ACI is the third Schattauer journal dealing with biomedical and health informatics. It perfectly complements our other journals Öffnet internen Link im aktuellen FensterMethods of Information in Medicine and the Öffnet internen Link im aktuellen FensterYearbook of Medical Informatics. The Yearbook of Medical Informatics being the “Milestone” or state-of-the-art journal and Methods of Information in Medicine being the “Science and Research” journal of IMIA, ACI intends to be the “Practical” journal of IMIA.
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