Online Brazilian Journal of Nursing

Current Issue

Vol. 25 No. Suppl1 (2026)
Published September 1, 2026

The Online Brazilian Journal of Nursing – OBJN (ISSN: 1676-4285), created in 2002, is affiliated with the Aurora de Afonso Costa School of Nursing (EEAAC) of the Fluminense Federal University (UFF). Its objective is to disseminate scientific production and strengthen Graduate Programs in Nursing and Health.

The title abbreviation is Online Braz J Nurs, which should be used in footnotes, captions, and bibliographic references.

Thematic area: Nursing and Health, with emphasis on care, management, teaching, and research applied to professional practice and public health policies.

Audience: Researchers, professors, health professionals, undergraduate and graduate students, and those in related fields.

Announcements

Call for Papers: 2026 Special Issue

Special issue on the use of Artificial Intelligence in data collection, data analysis, or the development of innovations applied to research, care, teaching, and management. Submissions sent by June 30, 2026, will be part of the 2026 issue.


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May 25, 2026

Results of OBJN Call for Applications No. 01/2026 – Call for External and Internal Associate Editors

The OBJN thanks everyone who applied for Associate Editor and welcomes the new members of the editorial team. See the full results.


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April 7, 2026

Read the full articles of Volume 24 (2025) – Continuous publication

The articles of Volume 24 (2025), published continuously, are available in full and free of charge. Access the volume.


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February 22, 2026

Editorial

Emerson Willian Santos de Almeida
e20267162
The machine advises, does the human being decide? Artificial intelligence and scientific responsibility
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DOI: https://doi.org/10.17665/1676-4285.20267162

Original Articles

Yasmin Saba de Almeida, Elaine Antunes Cortez, Geilsa Soraia Cavalcanti Valente
e20267204
Generative Artificial Intelligence and Large Language Models as methodological support tools in health research: a bibliometric analysis
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DOI: https://doi.org/10.17665/1676-4285.20267204

Implementation, Development, and Technological Innovation

Alex Sandro de Azeredo Siqueira, Vanessa Gomes da Silva, Renata Carla Nencetti Pereira Rocha, Nathalia de Paula Albuquerque Guimarães, Eliana David da Silva, Ângela Coe Camargo da Silva
e20267082
Computational rules for the nursing process in oncology palliative care: a technological innovation report
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DOI: https://doi.org/10.17665/1676-4285.20267082
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