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This paper is in the following e-collection/theme issue:

Quality/Credibility of eHealth Information and Trust Issues (946) Clinical Informatics (2290) Decision Support for Health Professionals (2249) Safety and Error Prevention in Health (322) Focus Groups and Qualitative Research for Human Factors Research (1555) Electronic Health Records (1738) Quality Improvement (373) Design and Usability of Clinical Software and EHRs (466) Nursing Records (38)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66959, first published .
Nurse in blue scrubs using a tablet in a hospital hallway.

Factors Influencing Information Distortion in Electronic Nursing Records: Qualitative Study

Factors Influencing Information Distortion in Electronic Nursing Records: Qualitative Study

Authors of this article:

Jianan Wang1 Author Orcid Image ;   Yihong Xu1 Author Orcid Image ;   Zhichao Yang1 Author Orcid Image ;   Jie Zhang1 Author Orcid Image ;   Xiaoxiao Zhang1 Author Orcid Image ;   Wen Li1 Author Orcid Image ;   Yushu Sun1 Author Orcid Image ;   Hongying Pan1 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Wang J, Xu Y, Zhang R, Yang Z, Zhang X, Pan H. Information Distortion in Electronic Health Records: A Concept Analysis. Journal of Advanced Nursing 2026;82(6):5881 View
  2. Zhang X, An Z, Zhou H, Wu B, Lu L, Liu X. Improving Nursing Team Collaboration Through Nurses’ Digital Literacy: A Variable‐Centered and Person‐Centered Perspective. Journal of Nursing Management 2025;2025(1) View
  3. Krel C, Vrbnjak D. Caring for Patients and Technological Competency in the Use of the Electronic Nursing Record System: A Qualitative Study. Healthcare 2025;14(1):26 View
  4. Vallès-Carvajal C, Selva-Pareja L, Masot O, Falcón-Villaitodo M, Camí C, Botigué T. Systematic Hydration Rounds Versus a Socially Assistive Robot to Promote Fluid Intake in Institutionalized Older Adults: A Quasi-Experimental Study. Nutrients 2026;18(16):2715 View
  5. Wang J, Xu Y, Li W, Yang Z, Sun Y, Zhang X, Pan H. Manifestations and Potential Consequences of Information Distortion in Electronic Nursing Records: Qualitative Study. JMIR Nursing 2026;9:e96679 View