Nursing

AI-Powered Voice Documentation: A Nurse-Led Pilot Program.

BACKGROUND: Documentation burden consumes an average of 31% of a nurse's 12-hour shift. This challenge necessitates nurse-led innovations to streamline charting and reclaim valuable time at the bedside. PURPOSE: This pilot program aimed to examine a nurse-led implementation of an artificial intelligence (AI)-powered voice documentation mobile application and evaluate outcomes related to documentat...

Initial-Visit Specialty Triage in Rare Diseases Using Large Language Models: Retrospective Benchmarking Study.

BACKGROUND: Specialty triage at first contact is an overlooked step in early diagnostic pathways for rare diseases. Patients often present with overlapping, multisystem, and atypical manifestations, making first-visit specialty selection challenging and potentially prolonging diagnostic pathways. OBJECTIVE: The aim of this study is to evaluate the accuracy, response time, and consistency of large ...

A Community-in-the-Loop Approach to Smart Home Monitoring for Aging in Place: Mixed Methods Evaluation of a Co-Designed Prototype.

BACKGROUND: The population of adults aged 65 and older is rapidly increasing, while the availability of caregivers is declining. Smart homes that prov...

[Translated article] Protocol for the development and validation of a questionnaire to evaluate user-robot interaction in the compounding of hazardous drugs in a hospital setting.

INTRODUCTION: The automation of hazardous drug preparation in hospitals using robotic systems is an effective strategy to enhance safety, quality, and...

Nursing as social control: An ethical perspective on care in dystopian contexts.

This article offers a comprehensive analysis of the representations of nursing and healthcare in contemporary and classic dystopian literature and fil...

Artificial intelligence, nursing, and social justice.

Can AI assist in reducing diagnostic error? A narrative review.

Diagnostic error, defined as missed, wrong, or delayed diagnoses or those not communicated to patients, is common, affecting 5-10 % of hospital admiss...

Nursing roles, competencies, and education in precision oncology: a scoping review.

BACKGROUND: Nurses contribute across the precision cancer care pathway, providing continuous, person-centred care and supporting genomic testing integ...

AI-assisted concept mapping enhances orthopaedic nursing students' critical thinking: A quasi-experimental study.

BACKGROUND: Critical thinking (CT) is essential in orthopaedic nursing practice, where nurses must accurately assess fractures, identify complications...

Cardiac energetics and ventriculo-arterial interaction-based phenotyping in heart failure: a machine learning analysis.

Left-ventricular cardiac power output (CPO), stroke-work index (LVSWI), and ventriculo-arterial coupling (VAC) capture cardiac energetics and ventricu...

AI-Powered Simulation for Nursing Education: Mixed Methods Systematic Review.

BACKGROUND: Traditional simulation-based nursing education is often constrained by high costs, resource intensity, and limited scalability. AI-powered...

Video-Algorithmic Patient Monitoring in Mental Health Inpatient Settings: Qualitative Study of Patient or Consumer, Clinician, and Vendor Perspectives.

BACKGROUND: Video-algorithmic patient monitoring (VAPM) combines remote, noncontact sensors and algorithmic analysis and is increasingly trialed in ac...

Cardiopulmonary point-of-care ultrasound for critical care.

Point-of-care ultrasound (POCUS) has emerged as an essential bedside tool for the rapid assessment and management of critically ill patients. This rev...

Generating Patient Documents from Electronic Health Records Using Generative Artificial Intelligence: A Feasibility Study in a Japanese Cancer Center.

OBJECTIVE: Clinical documentation consumes substantial clinician time, potentially detracting from patient care. Generative artificial intelligence (A...

The mediating effect of self-efficacy on the relationship between digital literacy and artificial intelligence anxiety in nursing students.

OBJECTIVE: The integration of digital technologies and artificial intelligence (AI) into healthcare has transformed nursing education, while also rais...

Comparing the effects of GenAI-assisted and facilitator-led debriefing on knowledge and non-technical skills in immersive virtual reality simulation in nursing education: A quasi-experimental study.

BACKGROUND: Immersive virtual reality (IVR) simulation is increasingly used in nursing education to support experiential learning and the development ...

Technology anxiety and artificial intelligence readiness in nursing students: a cross-sectional study.

INTRODUCTION: As artificial intelligence (AI) becomes more common in healthcare, nursing students need to be both mentally and emotionally ready to us...

Investigating the relationship between attitudes toward artificial intelligence and moral sensitivity among nursing students.

INTRODUCTION: Given the increasing use of artificial intelligence in the field of health and treatment, including nursing, it is necessary to draw stu...

The Science of Preventing Delirium: Trends, Knowledge Gaps, and Future Directions Revealed Through Bibliometric Insights.

PURPOSE: To examine global research trends in delirium prevention through a bibliometric analysis and provide a structured overview of its development...

AI-SOFA: An EMR-integrated Nursing Informatics-driven Decision Support System for Mortality Risk-informed ICU Clinical Decision-making.

Accurate and timely mortality prediction is essential for nursing clinical decision-making in intensive care units (ICUs). Although the Sequential Org...