Use of Artificial Intelligence in Electronic Health Records With Nursing Data Across Multiple Care Settings
The adoption of these technologies demonstrates promising potential to optimize nursing documentation, support clinical decisions, and strengthen patient safety, thereby promoting a more efficient and evidence-based nursing practice. However, effective implementation requires attention to data quality, interoperability, and increased active engagement of nurses in the development and use of such technologies.
Authors
- Tiago Silveira (ORCID: https://orcid.org/0000-0001-8118-6633)
- Lucélia Terra Chini (ORCID: https://orcid.org/0000-0003-0266-5295)
- Edzia Carvalho (ORCID: https://orcid.org/0000-0001-9441-5829)
- Francini Castilha do Nascimento (ORCID: https://orcid.org/0000-0001-7860-0493)
- Yasmim Ribeiro Fracaroli (ORCID: https://orcid.org/0009-0004-2400-2323)
- Alice Silva Costa (ORCID: https://orcid.org/0000-0003-4070-5366)
- Isabelle Cristinne Pinto Costa
- Luiz Eduardo da Silva
- Tamara Goncalves Rezende Macieira
Institutions
- Universidade de Ribeirão Preto (BR)
- Universidade de São Paulo (BR)
- Universidade Federal de Alfenas (BR)
- University of Florida (US)
Publication Details
- Journal
- CIN Computers Informatics Nursing
- Published
- 2025-12-23
- DOI
- https://doi.org/10.1097/cin.0000000000001400
- Primary Topic
- Nursing Diagnosis and Documentation
- Type
- article
- Field-Weighted Citation Impact
- 0.00