Appl Clin Inform 2025; 16(04): 1231-1243
DOI: 10.1055/a-2683-5752
Special Topic on Reducing Technology-Related Stress and Burnout

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

Authors

  • Jennifer Thate

    1   Department of Nursing, Siena College, Albany, New York, United States
  • Rachel Y. Lee

    2   Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, United States
  • Rosemary Mugoya

    3   Goldfarb School of Nursing, Barns-Jewish College, BJC HealthCare, St. Louis, Missouri, United States
    4   Institute for Informatics and Data Science, Washington University School of Medicine, St. Louis, Missouri, United States
  • Courtney J. Diamond

    2   Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, United States
  • Temiloluwa Daramola

    2   Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, United States
  • Po-Yin Yen

    3   Goldfarb School of Nursing, Barns-Jewish College, BJC HealthCare, St. Louis, Missouri, United States
    4   Institute for Informatics and Data Science, Washington University School of Medicine, St. Louis, Missouri, United States
  • Sarah C. Rossetti

    2   Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, United States
    5   School of Nursing, Columbia University Medical Center, New York, New York, United States

Funding This research was supported by the Agency for Healthcare Research and Quality grant no.: 5R01HS028454: Essential Nurse Documentation: Studying EHR Burden during COVID-19 (ENDBurden) and the US National Library of Medicine T15 Training grant no.: 5T15LM007079. We would also like to acknowledge the nurses who took the time to share their insights by participating in this study.
Preview

Abstract

Objective

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.

Methods

Semistructured interviews were conducted with 18 acute care nurses. Transcribed interviews were analyzed using the constant comparative method.

Results

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.”

Discussion

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.

Conclusion

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.

Protection of Human and Animal Subjects

This study was reviewed and approved by Columbia University's Institutional Review Board.


Supplementary Material



Publication History

Received: 06 February 2025

Accepted: 13 August 2025

Article published online:
01 October 2025

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