Artificial Intelligence in Nursing Practice: A Systematic Review of Applications, Impacts, and Ethical Considerations

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Authors: Fernan Torreno, Frincess Flores, Florentina Torreno
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Abstract

This dataset supports the systematic review titled “Artificial Intelligence in Nursing Practice: A Systematic Review of Applications, Impacts, and Ethical Considerations.” It includes metadata extracted from 53 peer-reviewed studies published between January 2020 and June 2025. The dataset is organized into four thematic domains: clinical applications, operational impacts, educational implications, and ethical considerations. Contents: • PRISMA screening log (initial search results, inclusion/exclusion decisions) • Study metadata (authors, publication year, country, AI application type, nursing domain) • Thematic codes and categories used in qualitative synthesis • Summary tables of AI tools, nursing roles affected, and reported outcomes • Ethical concerns identified across studies (e.g., data privacy, algorithmic bias) Format: Excel (.xlsx) and CSV (.csv) License: CC BY 4.0 Access: Open access via Mendeley Data

Publication details

Journal / source
Mendeley Data
Publication date
2 January 2026
Document type
Dataset