Nursing

Improving healthcare professionals' usage of artificial intelligence-powered risk recommenders through enhancement of trust and acceptance: a rapid realist review protocol.

INTRODUCTION: Healthcare professionals working in busy hospital environments are expected to make multiple back-to-back critical decisions related to patient assessment and treatment. Fatigue from a combination of complex decision-making over multiple patients can lead to less efficient care and an increased risk of error and harm. Artificial intelligence (AI) risk recommendation systems, hereafte...

Development and Validation of an Image-Based Deep Learning Tool for Identification of Xylazine-Associated Wounds.

OBJECTIVES: Accurate identification of xylazine-associated wounds (XAWs) is critical to providing timely and optimal management; however, discerning the etiology of wounds by appearance alone poses a clinical challenge. This study sought to develop an accessible and accurate approach for XAW diagnosis using a deep learning tool applied to wound photographs. METHODS: Publicly accessible wound photo...

Nurse-Led Design and Prototype Development of a Smart Care Robot to Support Mental Well-Being in Nursing and Health Care Students: A Proof-of-Concept.

BACKGROUND: Smart care robots are rarely developed for younger adults, particularly nursing and health care students, and seldom integrate nursing exp...

Comparative evaluation of handwriting recognition by large language models (LLMs) in interpreting handwritten medication lists.

INTRODUCTION: Handwritten bedside medication lists remain common in healthcare, especially in low-resource countries, presenting challenges for digiti...

Clinical decision support tools in wound management: A scoping review of existing and emerging tools.

AIM: This scoping review aimed to identify and map clinical decision support tools (both digital and non-digital) used by clinicians for wound managem...

Importance ranking and predictive model construction of WMSDs risk factors among shift-working nurses based on multiple machine-learning algorithms.

BACKGROUND AND OBJECTIVE: Nurses are essential for safeguarding public health, and their physical condition directly affects care quality and patient ...

Integrating GenAI in a Post-Licensure Pathophysiology Course to Enhance Communication Skills and Promote AI Literacy.

The rapid evolution of Generative Artificial Intelligence (AI) (GenAI) presents new opportunities for enhancing nursing education. This innovation exp...

AI Literacy as a Mediator Between Education Climate and Learning Agency in Nursing Students.

AIM: To examine the mediating role of artificial intelligence (AI) literacy in the relationship between educational climate and student learning agenc...

Determinants of patient satisfaction in a primary healthcare facility in Bangladesh.

BACKGROUND: Patient satisfaction is an important indicator of healthcare quality and system responsiveness, particularly in primary healthcare systems...

Improving Clinical Efficiency Using Artificial Intelligence Scribe for Documentation (ICE-AID Study): A Retrospective-Prospective Cohort Study at a Quaternary Children's Hospital and Health Service.

AIM: To evaluate the impact of an artificial intelligence medical scribe (AIMS) on clinical documentation efficiency, document quality, clinician-pati...

Arrhythmia Burden and Clinical Responses Under Continuous Monitoring in Heart Failure: Observations From the ALLEVIATE-HF Trial.

BACKGROUND: Arrhythmia burden in ambulatory patients with symptomatic heart failure (HF) without cardiac implantable electronic devices (CIEDs) is not...

Conceptualization, Contexts, and Measurement of Nursing Theoretical Literacy: Protocol for a Scoping Review.

BACKGROUND: Nursing theory and conceptual models are central to nursing as a knowledge discipline, yet theory is often perceived as abstract and diffi...

Beyond Time Saved: Implementation, Equity, and the Utility Threshold for Nursing AI Scribes.

Schwabe et al's pre-post time-motion study of a domain-specific artificial intelligence (AI) speech assistant used by nurses in German long-term care ...

An AI-Enabled Predictive Harm Response Management Algorithmic Tool to Reduce Adverse Events in Health Care Settings (PreHaRM): Protocol for a Three-Phase Model Development and Pilot-Testing Study.

BACKGROUND: Current data analysis and coordination methods do not effectively support nurses and midwives in risk reduction, as retrospective reportin...

Diagnostic value of integrated albumin-to-leukocyte ratio risk modeling stratification and machine learning approaches for prediction of spontaneous bacterial peritonitis in cirrhotic patients.

BACKGROUND: Spontaneous bacterial peritonitis (SBP) remains a life-threatening complication of liver cirrhosis, requiring accurate and rapid predictio...

Artificial intelligence policy among nursing journals.

BACKGROUND: The rapid integration of generative artificial intelligence (AI) into scholarly work is reshaping nursing publication standards. PURPOSE: ...

Staffing, workflow, and operational models in virtual nursing and remote safety observation: A scoping review.

BACKGROUND: Virtual nursing and remote safety observation have emerged as critical nurse-led workforce innovations, yet standardized evidence on staff...

Metabolic Health is Highly Predictive of Chronic Pain Among Non-Obese Adults: Evidence from the NHANES and CHARLS Studies.

OBJECTIVE: To investigate the predictive value of the estimated glucose disposal rate (eGDR) for chronic pain (CP) and to evaluate its consistency as ...

Development and validation of an early prediction model for bee-sting-induced acute kidney injury using machine learning.

Acute kidney injury (AKI) is a severe and frequent complication following bee stings, with a reported incidence of 30-50%. Early identification is cli...

The Italian hand hygiene project: A joint-commission Italian network analysis.

BACKGROUND: Hand hygiene (HH) is a straightforward yet highly effective preventive measure against healthcare-associated infections; however, global c...