Journal of Nursing and Public Health

Publisher: Unived Press, Universitas Dehasen Bengkulu, Indonesia

Print ISSN 2338-7033  |  Online ISSN 2722-0613  |  Open access and peer reviewed

Official journal: https://jurnal.unived.ac.id/index.php/jnph

Policy introduction

The Journal of Nursing and Public Health publishes scholarship on nursing practice, healthcare delivery, epidemiology and population health. This policy sets out the editorial requirements and recommended procedures necessary to protect research integrity, patient welfare, scholarly quality and transparent publishing. It applies to relevant authors, editors, reviewers and other participants in the publication process.

1. Core principles

GenAI may assist language editing, translation, preliminary literature organisation, programming and non-evidentiary diagrams, but cannot replace human scholarly judgement, original data collection, clinical expertise or accountability. AI systems cannot be authors.

2. Permitted assistance

Permitted tasks may include grammar and clarity editing, preliminary outlines, coding support, and analysis workflows, provided researchers verify outputs against primary sources and validate methods and results. AI-assisted statistical processing must be reproducible and described in Methods when material.

3. Prohibited practices

Authors must not fabricate patients, interviews, clinical observations, diagnoses, outcomes, consent forms, ethics approval, trial registrations, citations or DOIs; manipulate medical images deceptively; produce unsafe clinical recommendations without validation; or hide material AI involvement.

4. Patient privacy and clinical safety

Identifiable patient data, unpublished case notes, confidential clinical records, peer-review manuscripts or restricted datasets must not be uploaded to unauthorised AI services. Use of approved systems requires appropriate consent/legal basis, safeguards and compliance with institutional rules. AI output is not independent clinical evidence.

5. Mandatory author disclosure

Authors must specify the tool, provider, purpose, manuscript sections or analytical tasks affected, and the verification carried out. Include a “Declaration of Generative AI and AI-Assisted Technologies” before References unless the template specifies otherwise. Authors not using GenAI should explicitly declare non-use.

6. Editors and reviewers

Editors and reviewers must not upload confidential manuscripts or reports to unapproved AI tools. Automated detection scores are insufficient proof of misuse. Humans remain responsible for all judgements and recommendations.

7. Sample statements

Used: “During preparation of this manuscript, the authors used [tool/provider] for [purpose]. The authors reviewed and verified all outputs and take full responsibility for the content.”

Not used: “The authors declare that no generative AI or AI-assisted technologies were used in preparing or analysing this manuscript.”

8. Assessment and breaches

Suspected AI-related misconduct will be assessed through fair and evidence-based procedures under the journal’s research misconduct policy. Disclosures should be recorded in the submission workflow.

Implementation and governance

The Editorial Board should approve this policy, incorporate it into the Author Guidelines and applicable OJS submission or editorial workflows, and review it periodically. Any additional operational requirements described as recommendations must be verified and implemented before being represented as active journal practice.

Policy authority: Editorial Board, Journal of Nursing and Public Health

Publisher: Unived Press, Universitas Dehasen Bengkulu, Indonesia

Document status: Proposed policy for formal editorial approval.