Choosing between Patient Care Needs and Accurate Data Capture: Exploring Nurses' Experiences of Excessive Documentation Burden.

IF 2.2 2区 医学 Q4 MEDICAL INFORMATICS
Applied Clinical Informatics Pub Date : 2025-08-01 Epub Date: 2025-10-01 DOI:10.1055/a-2683-5752
Jennifer Thate, Rachel Y Lee, Rosemary Mugoya, Courtney J Diamond, Temiloluwa Daramola, Po-Yin Yen, Sarah C Rossetti
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Abstract

This study aimed to explore: (1) how nurses in the acute care setting describe their experience(s) of excessive documentation burden (ExDocBurden); (2) what factors contribute to ExDocBurden for nurses in the inpatient setting; and (3) nurses' perspectives on solutions to mitigate ExDocBurden that support documentation practices that they deem essential to providing safe, high-quality care.Semistructured interviews were conducted with 18 acute care nurses. Transcribed interviews were analyzed using the constant comparative method.All sources of ExDocBurden were categorized as issues of usability which included four themes: (1) inaccurate data resulting from EHR rules or logic that force or limit responses; (2) burdensome lengthy flowsheets-scrolling, clicking, and searching for the right place to document; (3) checking the box prevents meaningful information capture; and (4) a moving target-ongoing updates and inadequate training. Strategies to reduce ExDocBurden were categorized as "current approaches" and "future innovations."Based on synthesis of categories and themes, alongside existing literature, we propose the following recommendations: (1) develop evidence-based consensus on essential EHR data elements, (2) minimize structured data entry interfaces and maximize forms of data entry that develop and reflect nurses' clinical reasoning, (4) leverage emerging technologies to capture and parse data into structured formats suitable for secondary uses.Addressing usability issues identified by nurses is critical to reducing ExDocBurden. Increasing required data entry in structured flowsheets not only contributes to ExDocBurden, but also leads to inaccurate data capture that has serious implications for AI tools that rely on the quality of previously documented data.

在病人护理需求和准确数据获取之间的选择:探讨护士对过度文件负担的经验。
本研究旨在探讨:(1)急症护理机构的护士如何描述其过度文件负担的经验(ExDocBurden);(2)住院护士的ExDocBurden受哪些因素影响;(3)护士对减轻ExDocBurden的解决方案的看法,这些解决方案支持他们认为对提供安全、高质量护理至关重要的文档实践。对18名急症护理护士进行半结构化访谈。访谈记录采用恒常比较法进行分析。ExDocBurden的所有来源都被归类为可用性问题,其中包括四个主题:(1)由EHR规则或逻辑导致的不准确数据,这些规则或逻辑强制或限制了响应;(2)繁琐冗长的流程图——滚动、点击和搜索正确的文档位置;(3)勾选复选框会阻止捕获有意义的信息;(4)一个移动的目标——不断更新和训练不足。减少ExDocBurden的策略被归类为“当前方法”和“未来创新”。基于对类别和主题的综合,以及现有文献,我们提出以下建议:(1)就基本电子病历数据元素达成循证共识;(2)最小化结构化数据输入接口,最大化数据输入形式,以发展和反映护士的临床推理;(4)利用新兴技术捕获数据并将其解析为适合二次使用的结构化格式。解决护士发现的可用性问题对于减少ExDocBurden至关重要。在结构化流程图中增加所需的数据输入不仅会增加ExDocBurden,还会导致不准确的数据捕获,这对依赖于先前记录数据质量的人工智能工具有严重影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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