TY  - JOUR
AU  - Wang, Jianan
AU  - Xu, Yihong
AU  - Yang, Zhichao
AU  - Zhang, Jie
AU  - Zhang, Xiaoxiao
AU  - Li, Wen
AU  - Sun, Yushu
AU  - Pan, Hongying
PY  - 2025
DA  - 2025/4/9
TI  - Factors Influencing Information Distortion in Electronic Nursing Records: Qualitative Study
JO  - J Med Internet Res
SP  - e66959
VL  - 27
KW  - information distortion
KW  - electronic health record
KW  - qualitative research
KW  - ethics
KW  - nursing
AB  - Background: Information distortion in nursing records poses significant risks to patient safety and impedes the enhancement of care quality. The introduction of information technologies, such as decision support systems and predictive models, expands the possibilities for using health data but also complicates the landscape of information distortion. Only by identifying influencing factors about information distortion can care quality and patient safety be ensured. Objective: This study aims to explore the factors influencing information distortion in electronic nursing records (ENRs) within the context of China’s health care system and provide appropriate recommendations to address these distortions. Methods: This qualitative study used semistructured interviews conducted with 14 nurses from a Class-A tertiary hospital. Participants were primarily asked about their experiences with and observations of information distortion in clinical practice, as well as potential influencing factors and corresponding countermeasures. Data were analyzed using inductive content analysis, which involved initial preparation, line-by-line coding, the creation of categories, and abstraction. Results: The analysis identified 4 categories and 10 subcategories: (1) nurse-related factors—skills, awareness, and work habits; (2) patient-related factors—willingness and ability; (3) operational factors—work characteristics and system deficiencies; and (4) organizational factors—management system, organizational climate, and team collaboration. Conclusions: Although some factors influencing information distortion in ENRs are similar to those observed in paper-based records, others are unique to the digital age. As health care continues to embrace digitalization, it is crucial to develop and implement strategies to mitigate information distortion. Regular training and education programs, robust systems and mechanisms, and optimized human resources and organizational practices are strongly recommended. 
SN  - 1438-8871
UR  - https://www.jmir.org/2025/1/e66959
UR  - https://doi.org/10.2196/66959
UR  - http://www.ncbi.nlm.nih.gov/pubmed/40202777
DO  - 10.2196/66959
ID  - info:doi/10.2196/66959
ER  -