Nursing

How to implement AI-based rostering to ease the administrative burden on nurse managers.

Nurse managers spend a significant amount of their working day on administrative duties, notably ros...

Moral distress risk profiling in ICU nurses: A cross-sectional study.

BackgroundMoral distress is common among ICU nurses and has been linked to burnout, diminished care ...

Enhancing diagnostic safety: addressing knowledge gaps for using human factors tools in the safe and effective use of AI - a proposed research agenda.

INTRODUCTION: Identify knowledge gaps in applying artificial intelligence in clinical settings, usin...

Nursing Students' Information Seeking Behavior in Saudi Arabia: A Mixed-Method Study.

INTRODUCTION: Nursing care plans are fundamental learning tools for assessing students' clinical jud...

Architecting Enterprise Digital Infrastructure for Nursing Professional Development: The Registered Nurse Experience Platform as a Scalable Model for Standardizing Peer Feedback and Workforce Evaluation.

The RN (Registered Nurse) Experience Platform is an enterprise digital infrastructure developed to s...

Artificial Intelligence (AI) and Pediatric Nursing: Benefits, Concerns, Next Steps.

Development and Validation of a Machine Learning-Based Bedside Score (IPA-2T2C2DW) for Invasive Pulmonary Aspergillosis in Critically Ill Non-Neutropenic Immunocompromised Hosts.

OBJECTIVE: To develop and validate machine learning-based diagnostic models for IPA using data avail...

Messaging and Chatbot-Assisted Nursing Consultation (ChatACP) to Empower Family Members of Residents of Nursing Homes on Advance Care Planning: Protocol for a Mixed Methods Pilot Study.

BACKGROUND: Advance care planning (ACP) involves proactive communication about end-of-life care pref...

A Large Language Model-Based Simulation Protocol Using ChatGPT for Training Novice Critical Care Nurses in Family Crisis Communication and De-escalation.

High-stress conversations with family members in distress are a common part of the intensive care un...

Nurses' knowledge, attitudes, literacy, anxiety, and readiness towards artificial intelligence in clinical practice: An international scoping review.

BACKGROUND: Artificial intelligence (AI) is rapidly transforming healthcare delivery, yet its succes...

Inpatient Nurses' Anticipatory Perspectives on Assistive Robots: Qualitative Study.

BACKGROUND: Assistive robots have been proposed to support nursing work by offloading routine, logis...

Building a Natural Language Processing Augmented Information Support System to Enhance Supportive Care for Patients With Prostate Cancer and Families: User-Centered, Iterative Approach.

BACKGROUND: Patients with prostate cancer and their families face significant challenges during tran...

Nurse-Led Ambient AI Scribe for Patient Safety Incident Investigation Reports (Project NARRATE): Retrospective Pre-Post Comparative Document-Quality Study.

BACKGROUND: Patient safety investigation reports support organizational learning only when they are ...

Evaluation of e-health interventions to strengthen nursing care in the neonatal intensive care unit: A systematic review.

PURPOSE: This review explores how e-health interventions are utilized within neonatal intensive care...

Construction and validation of a liquid neural network-based prediction model and bedside tool for spontaneous passage of common bile duct stones.

BACKGROUND: To construct and externally validate a liquid neural network (LNN)-based risk prediction...

Large language models in respiratory care: safety and clinical integration.

BACKGROUND: Large language models (LLMs) are rapidly entering respiratory medicine workflows. Their ...

Analyzing Productivity Trends for Nursing Professional Development Practice.

Nursing professional development (NPD) work is strategically important yet frequently difficult to m...

Ethical aspects of artificial intelligence use in neonatal intensive care units: a scoping review.

UNLABELLED: This study aims to map ethical, legal, social, professional, and implementation issues a...

ChatGPT and Large Language Models in Contemporary Nursing.

OBJECTIVES: This narrative review synthesizes published evidence on the applications, benefits, limi...

Sociodemographic bias in LLMs' clinical decision-making for dizziness.

ObjectiveAs large language models (LLMs) enter clinical decision support, concerns persist about soc...

From bedside queries to complex care: AI for decision-making in infectious diseases.

BACKGROUND: Infectious Diseases require rapid decisions based on heterogeneous and evolving clinical...