Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions
Rabie Adel El Arab; Omayma Abdulaziz Al Moosa; Mette Sagbakken; Ahmed Ghannam; Fuad H. Abuadas; Joel Somerville; Abbas Al Mutair · 2025 · Frontiers in Public Health
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Background: Artificial Intelligence (AI) is rapidly transforming the nursing profession, presenting significant opportunities and challenges. Despite its promising potential in enhancing nursing education, clinical practice, and operational efficiency, critical barriers related to ethics, workforce adaptation, and humanistic care persist. Aim: This integrative review systematically evaluates the integration of AI in nursing practice, with a specific focus on nursing education, clinical care, workload management, and professional perceptions. Methods: Guided by PRISMA 2020 and the SPIDER framew
Abstract by Rabie Adel El Arab; Omayma Abdulaziz Al Moosa; Mette Sagbakken; Ahmed Ghannam; Fuad H. Abuadas; Joel Somerville; Abbas Al Mutair, Frontiers in Public Health (2025) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
A Randomized Trial of Intraarterial Treatment for Acute Ischemic Stroke
Negative / Null Result ReportDuodenal Infusion of Donor Feces for Recurrent Clostridium difficile
Negative / Null Result ReportStenting versus Endarterectomy for Treatment of Carotid-Artery Stenosis
Negative / Null Result ReportEffects of Combination Lipid Therapy in Type 2 Diabetes Mellitus
Replication FailureA Randomized Trial of Bevacizumab for Newly Diagnosed Glioblastoma
Negative / Null Result ReportSpironolactone for Heart Failure with Preserved Ejection Fraction
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.3389/fpubh.2025.1619378
