Data quality in electronic health records (EHRs) is central to data-informed healthcare. Health professionals play a key role in ensuring data quality yet the complexities of clinical data practices remain poorly understood. Previous reviews have focused on specific documentation domains or professions, leaving a gap in understanding the broader individual, organisational, technological and contextual factors influencing data quality in hospital settings. This scoping review aims to identify and map factors that promote or hinder data quality in EHRs among health professionals in hospital settings.

The review will follow the Joanna Briggs Institute (JBI) methodology for scoping reviews and be reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis for Scoping Reviews (PRISMA-ScR) checklist. Peer-reviewed studies will be identified through comprehensive searches in PubMed, Scopus, Web of Science, CINAHL and Google Scholar. Two independent reviewers will screen titles, abstracts and full texts and extract data using the JBI Extraction Form. Data will be charted and mapped according to the six dimensions of the Digital Health Data Quality Dimension and Outcome (DQ-DO) framework—accuracy, completeness, consistency, contextual validity, currency and accessibility—and analysed across professional groups and hospital contexts.

Ethical approval is not required for this scoping review as it is based on publicly available data. The findings will be disseminated through peer-reviewed publication and presentations at relevant academic and clinical conferences.

The protocol has been registered in the Open Science Framework: https://doi.org/10.17605/OSF.IO/YQ2DX