Subscribe to RSS
DOI: 10.1055/a-2683-5752
Choosing between Patient Care Needs and Accurate Data Capture: Exploring Nurses' Experiences of Excessive Documentation Burden
Authors
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.

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.
Publication History
Received: 06 February 2025
Accepted: 13 August 2025
Article published online:
01 October 2025
© 2025. Thieme. All rights reserved.
Georg Thieme Verlag KG
Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany
-
References
- 1 Murad MH, Vaa Stelling BE, West CP. et al. Measuring documentation burden in healthcare. J Gen Intern Med 2024; 39 (14) 2837-2848
- 2 Ommaya AK, Cipriano PF, Hoyt DB. et al. Care-centered clinical documentation in the digital environment: solutions to alleviate burnout. NAM Perspect Published online January 29, 2018
- 3 Strategy on Reducing Burden Relating to the Use of Health IT and EHRs | HealthIT.gov. Accessed January 20, 2025 at: https://www.healthit.gov/sites/default/files/page/2020-02/BurdenReport_0.pdf
- 4 Levy DR, Withall JB, Mishuris RG. et al. Defining documentation burden (DocBurden) and excessive DocBurden for all health professionals: a scoping review. Appl Clin Inform 2024; 15 (05) 898-913
- 5 Colicchio TK, Cimino JJ, Del Fiol G. Unintended consequences of nationwide electronic health record adoption: challenges and opportunities in the post-meaningful use era. J Med Internet Res 2019; 21 (06) e13313
- 6 Kutney-Lee A, Brooks Carthon M, Sloane DM, Bowles KH, McHugh MD, Aiken LH. Electronic health record usability: associations with nurse and patient outcomes in hospitals. Med Care 2021; 59 (07) 625-631
- 7 Moy AJ, Hobensack M, Marshall K. et al. Understanding the perceived role of electronic health records and workflow fragmentation on clinician documentation burden in emergency departments. J Am Med Inform Assoc 2023; 30 (05) 797-808
- 8 Murthy VH. . Addressing Health Worker Burnout. hhs.gov. 2022 . Accessed at: http://hhs.gov/sites/default/files/health-worker-wellbeing-advisory.pdf
- 9 Rossetti SC, Rosenbloom ST, Levy DR. et al. Summary Report from the 25 by 5: Symposium Series to Reduce Documentation Burden on U.S. Clinicians by 75% by 2025 . Published online 2021. Accessed at: https://brand.amia.org/m/dbde97860f393e1/original/25x5-Summary-Report.pdf
- 10 Sloss EA, Abdul S, Aboagyewah MA. et al. Toward alleviating clinician documentation burden: a scoping review of burden reduction efforts. Appl Clin Inform 2024; 15 (03) 446-455
- 11 Apathy NC, Hare AJ, Fendrich S, Cross DA. Early changes in billing and notes after evaluation and management guideline change. Ann Intern Med 2022; 175 (04) 499-504
- 12 Dymek C, Kim B, Melton GB, Payne TH, Singh H, Hsiao CJ. Building the evidence-base to reduce electronic health record-related clinician burden. J Am Med Inform Assoc 2021; 28 (05) 1057-1061
- 13 Weir CR, Taber P, Taft T, Reese TJ, Jones B, Del Fiol G. Feeling and thinking: can theories of human motivation explain how EHR design impacts clinician burnout?. J Am Med Inform Assoc 2021; 28 (05) 1042-1046
- 14 Gill P, Baillie J. Interviews and focus groups in qualitative research: an update for the digital age. Br Dent J 2018; 225 (07) 668-672
- 15 Lambert SD, Loiselle CG. Combining individual interviews and focus groups to enhance data richness. J Adv Nurs 2008; 62 (02) 228-237
- 16 Katz-Buonincontro J. Combining interviews and focus groups and mixing methods. In: How to Interview and Conduct Focus Groups. Concise Guides to Conducting Behavioral, Health, and Social Science Research Series. American Psychological Association; 2022: 67-78
- 17 Sengstack PR, Adrian B, Boyd DL. et al. The Six Domains of Burden: A Conceptual Framework to Address the Burden of Documentation in the Electronic Health REcord. Published online June 23, 2020. Accessed at: https://www.ania.org/assets/documents/position/ehrBurdenPosition.pdf
- 18 Boeije H. A purposeful approach to the constant comparative method in the analysis of qualitative interviews. Qual Quant 2002; 36 (04) 391-409
- 19 Richards KAR, Hemphill MA. A practical guide to collaborative qualitative data analysis. J Teach Phys Educ 2018; 37 (02) 225-231
- 20 Merriam SB, Tisdell EJ. Qualitative Research: A Guide to Design and Implementation. 4th ed.. Jossey-Bass; 2016
- 21 Hennink M, Kaiser BN. Sample sizes for saturation in qualitative research: a systematic review of empirical tests. Soc Sci Med 2022; 292: 114523
- 22 National Institute of Standards and Technology, U.S. Department of Commerce . Usability – Glossary. Computer Security Resource Center (CSRC). Accessed July 23, 2024 at: https://csrc.nist.gov/glossary/term/usability
- 23 Nielsen J. Chapter 1 - What is usability?. In: Wilson C. ed User Experience Re-Mastered. Morgan Kaufmann; 2010: 3-22
- 24 Lee R, Thate JA, Withall J, Yen PY, Cato K, Rossetti SC. Relationship between additional required nursing documentation and patient outcomes: a scoping review. Appl Clin Inform 2025; 16 (03) 628-639
- 25 Expired COVID-19 Executive Orders | Office of the Professions. Accessed February 1, 2025 at: https://www.op.nysed.gov/about/covid-19/expired-executive-orders
- 26 Bates DW, Kuperman GJ, Wang S. et al. Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality. J Am Med Inform Assoc 2003; 10 (06) 523-530
- 27 Gesner E, Dykes PC, Zhang L, Gazarian P. Documentation burden in nursing and its role in clinician burnout syndrome. Appl Clin Inform 2022; 13 (05) 983-990
- 28 Hettinger AZ, Melnick ER, Ratwani RM. Advancing electronic health record vendor usability maturity: progress and next steps. J Am Med Inform Assoc 2021; 28 (05) 1029-1031
- 29 Melnick ER, West CP, Nath B. et al. The association between perceived electronic health record usability and professional burnout among US nurses. J Am Med Inform Assoc 2021; 28 (08) 1632-1641
- 30 Englebright J, Michel S, Boyd DL, Hulett SL. A framework for national collaboration to reduce documentation burden and design for usable and reusable data. J Nurs Adm 2021; 51 (03) 162-167
- 31 Horn JJ, Doucette JN, Sweeney NL. An essential clinical dataset intervention for nursing documentation of a pediatric admission history database. J Pediatr Nurs 2021; 59: 110-114
- 32 Lindsay MR, Lytle K. Implementing best practices to redesign workflow and optimize nursing documentation in the electronic health record. Appl Clin Inform 2022; 13 (03) 711-719
- 33 McDonnell B. Nurse EHR documentation coaching effort review and evaluation: a case study. J Inform Nurs 2022; 7 (01) 25-28
- 34 Phillips T, Baur K. Nursing praxis for reducing documentation burden within nursing admission assessments. Comput Inform Nurs 2021; 39 (11) 627-633
- 35 McIlreevy J, Rylee TL, Shields-Tettamanti T, Gee PM. Interdisciplinary optimization of admission documentation: reducing the bloat. Comput Inform Nurs 2021; 39 (05) 248-256
- 36 Sutton DE, Fogel JR, Giard AS, Gulker LA, Ivory CH, Rosa AM. Defining an essential clinical dataset for admission patient history to reduce nursing documentation burden. Appl Clin Inform 2020; 11 (03) 464-473
- 37 Petrovic K. Reducing the Burden: Eliminating 168 Accreditation Requirements is Just the Start. The Joint Commission. January 24 , 2023. Accessed July 9, 2025 at: https://web.archive.org/web/20250120003137/https://www.jointcommission.org/resources/news-and-multimedia/blogs/dateline-tjc/2023/01/reducing-the-burden/
- 38 Dunn Lopez K, Chin CL, Leitão Azevedo RF. et al. Electronic health record usability and workload changes over time for provider and nursing staff following transition to new EHR. Appl Ergon 2021; 93: 103359
- 39 Westra BL, Christie B, Johnson SG. et al. Modeling flowsheet data to support secondary use. Comput Inform Nurs 2017; 35 (09) 452-458
- 40 Jacques D, Will J, Dauterman D. et al. Evaluating nurses' perceptions of documentation in the electronic health record: multimethod analysis. JMIR Nurs 2025; 8 (01) e69651
- 41 Lee RY, Thate J, Withall J, Yen PY, Cato K, Rossetti SC. Relationship between additional required nursing documentation and improvements in patient outcomes: a scoping review. Appl Clin Inform 2025; 16 (03) 628-639
- 42 Morrison Z, Fernando B, Kalra D, Cresswell K, Sheikh A. National evaluation of the benefits and risks of greater structuring and coding of the electronic health record: exploratory qualitative investigation. J Am Med Inform Assoc 2014; 21 (03) 492-500
- 43 Wilbanks BA, Moss J. Evidence-based guidelines for interface design for data entry in electronic health records. Comput Inform Nurs 2018; 36 (01) 35-44
- 44 Healthcare Data Quality. American Institute for Healthcare Management. . September 4, 2018 . Accessed May 12, 2025 at: https://amihm.org/healthcare-data-quality/
- 45 Vuokko R, Mäkelä-Bengs P, Hyppönen H, Lindqvist M, Doupi P. Impacts of structuring the electronic health record: Results of a systematic literature review from the perspective of secondary use of patient data. Int J Med Inform 2017; 97: 293-303
- 46 Colicchio TK, Cimino JJ. Clinicians' reasoning as reflected in electronic clinical note-entry and reading/retrieval: a systematic review and qualitative synthesis. J Am Med Inform Assoc 2019; 26 (02) 172-184
- 47 Collins S, Couture B, Kang MJ. et al. Quantifying and visualizing nursing flowsheet documentation burden in acute and critical care. AMIA Annu Symp Proc 2018; 2018: 348-357