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Factors Influencing Electronic Health Record Workflow Integration Among Nurses in Saudi Arabia: Cross-Sectional Study.
- Source :
- SAGE Open Nursing; 6/3/2024, p1-9, 9p
- Publication Year :
- 2024
-
Abstract
- Introduction: Globally, healthcare organizations have transitioned from paper-based documentation to electronic health records (EHR), including in Saudi Arabia. However, the adoption of EHR at the national level in Saudi Arabia needs more attention. Thus, this study aimed to determine the workflow integration of EHR and associated factors. Objectives: The specific aims were to examine the level of EHR use and workflow integration among nurses, to determine the differences in EHR use and workflow integration based on nurses' demographic characteristics, and to determine the association between the predictive factors and EHR workflow integration. Methods: This is a cross-sectional, correlational descriptive study. The data were collected from 293 nurses using the convenience sampling method. The participating nurses completed a questionnaire that included two measures: the Information System Use Survey and the Workflow Integration Survey (WIS). The data were analyzed using descriptive and multivariate statistics with SPSS software. Results: The nurses had a positive perception of EHR use and workflow. The EHR use scores differed based on workplace (P <.01), education level (P <.05), and area of practice (P <.001). Similarly, the EHR workflow integration scores varied according to workplace (P <.05), education level (P <.05), and area of practice (P <.001). Education level and workplace significantly predicted information system use. Furthermore, education level and information system use significantly predicted the EHR integration into nurses' workflow. Conclusion: The nurses expressed a greater perceived use of EHR regarding the integrated health information system, which was a predictor of EHR integration into nurses' workflow. [ABSTRACT FROM AUTHOR]
- Subjects :
- CLINICAL medicine
MEDICAL information storage & retrieval systems
CROSS-sectional method
STATISTICAL correlation
PREDICTION models
DATA analysis
RESEARCH funding
STATISTICAL sampling
SAMPLE size (Statistics)
QUESTIONNAIRES
TERTIARY care
DESCRIPTIVE statistics
WORKFLOW
SURVEYS
ELECTRONIC health records
RESEARCH
RESEARCH methodology
ANALYSIS of variance
STATISTICS
DATA analysis software
PSYCHOLOGY of nurses
Subjects
Details
- Language :
- English
- ISSN :
- 23779608
- Database :
- Complementary Index
- Journal :
- SAGE Open Nursing
- Publication Type :
- Academic Journal
- Accession number :
- 177650883
- Full Text :
- https://doi.org/10.1177/23779608241260547