Nursing

Using Prompt Engineering to Optimize a RAG Pipeline for EHR-Nursing Data Standardization.

Standardizing nursing care plan data from electronic health records is critical for interoperability...

From Unstructured to Structured Nursing Documentation for Myocardial Infarction Patients Using Clinical Practice Guidelines and SNOMED CT.

This study aims to analyze unstructured nursing documentation of myocardial infarction patients usin...

Cross-Institutional Data Harmonization for AI in Nursing Care Using the OMOP CDM.

Artificial Intelligence (AI) offers potential to support and empower nurses, yet its development dep...

Time to Care-AI Supported Nursing Documentation.

This study conducted a needs assessment to evaluate contextual factors, adoption barriers, and overa...

A Tool for Virtual Nursing Utilization in Emergency Reception: An Exploratory Machine Learning Approach.

As virtual nursing (VN) gains traction as a scalable solution to support hospital workflows, identif...

Using AI to Increase Research Capacity: The Writing to Improve Nursing Science (WINS) in the Caribbean Program.

Generative AI tools hold promise for addressing global health inequities-but their potential to supp...

Exploring the Role of Robotics in Nursing Homes: Insights from Healthcare Professionals.

This paper reports findings from a qualitative descriptive study exploring the potential use of serv...

Integrating ChatGPT into nursing education: a randomized trial exploring knowledge, retention, and student perspectives on endotracheal suctioning.

AIM: This study aimed to evaluate the preliminary effectiveness of a ChatGPT-integrated educational ...

Calibration, Generalization, and Explainability: AI Challenges Behind Bedside EEG Prognostication.

Teaching Ethical AI Use in Graduate Nursing Programs: A Scaffolded Model for Professional Identity Formation.

BACKGROUND: Generative artificial intelligence (AI) has entered graduate nursing education faster th...

Network structure of artificial intelligence anxiety among nursing students and educational implications: A multicenter network analysis.

BACKGROUND: While artificial intelligence (AI) transforms nursing practice, nursing students experie...

Enhancing prediction of inpatient deterioration by combining clinical and nurse concern features, with or without temporal clustering.

BACKGROUND: Early warning systems (EWSs) help clinicians identify deteriorating patients using clini...

The impact of generative artificial intelligence on clinical skills and knowledge acquisition in medical undergraduates: a systematic review and meta-analysis.

BACKGROUND: Currently, there is a growing body of research examining the role of generative Artifici...

An evidence-based nursing management app prototype for adult urology day surgery: an AI-driven development pathway.

OBJECTIVES: The nursing management of adult urology patients in day surgical settings has undergone ...

Real-time interaction with artificial intelligence and its association with learning experience and academic performance among undergraduate nursing students in Peshawar: an analytical cross-sectional study.

BACKGROUND: Artificial intelligence (AI) has been widely incorporated in the education domain for of...

Accuracy, Readability, and Clinical Applicability of AI-Generated Breastfeeding Education Brochures: A Mixed-Methods Evaluation.

BACKGROUND: Generative artificial intelligence (AI) is increasingly used in health communication and...

A Dynamic Machine Learning Approach to Complement Nurse-Led Clinics in Identifying High-Risk Patients with Intermittent Claudication.

OBJECTIVE: To develop and validate dynamic machine-learning models to predict 6-month adverse outcom...

Pre-analytical standardization and multi-biofluid harmonization for liquid biopsy biomarkers in lung cancer: From discovery to clinical laboratory implementation.

Lung cancer remains the leading cause of cancer-related mortality worldwide, with early detection be...

"There's not one part of the programme that hasn't been useful in my clinical practice": undergraduate nursing students' views and experiences of a Dementia Education Program.

Preparing nursing students to provide high-quality, person-centered dementia care is a global priori...

Application of an AI-Based Pediatric Early Warning Score in the Pediatric Emergency Department: Cross-Sectional Study.

BACKGROUND: Pediatric emergency departments see a high volume of patients. Given that children often...

Application of artificial intelligence-assisted education for postoperative pulmonary rehabilitation: a hybrid model of AI and nurse-driven support.

OBJECTIVE: To explore the clinical value of AI-assisted pulmonary rehabilitation education in patien...