98%
921
2 minutes
20
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jid.2025.01.027 | DOI Listing |
JAMA Netw Open
September 2025
Institute of Integrated Traditional Chinese and Western Medicine and Chinese Evidence-Based Medicine Center and Cochrane China, West China Hospital, Sichuan University, Chengdu, China.
Importance: Externally controlled trials (ECTs) can serve as an alternative in settings where randomized clinical trials (RCTs) are unfeasible. However, the methodological rigor of ECTs, particularly with regard to bias control, is often inadequately assessed, which can compromise the validity of studies and lead to incorrect decisions.
Objective: To examine the design, conduct, and analysis characteristics of current ECTs and to assess whether appropriate methods were used to control bias.
BMC Nurs
September 2025
School of Health Professions, Bern University of Applied Sciences, Murtenstrasse 10, Bern, 3008, Switzerland.
Introduction: Work-life balance (WLB) is critical to nurse retention and job satisfaction in healthcare. Traditional shift scheduling, characterised by inflexible hours and limited employee control, often leads to stress and perceptions of unfairness, contributing to high turnover rates. AI-based scheduling systems are promoted as a promising solution by enabling fairer and more transparent shift distribution.
View Article and Find Full Text PDFWorld J Crit Care Med
September 2025
Section of Pulmonary and Critical Care Medicine, Ben Taub Hospital/Baylor College of Medicine, Houston, TX 77030, United States.
Prediction of weaning success from invasive mechanical ventilation remains a challenge in everyday clinical practice. Several prediction scores have been developed to guide success during spontaneous breathing trials to help with weaning decisions. These scores aim to provide a structured framework to support clinical judgment.
View Article and Find Full Text PDFCommunity Health Equity Res Policy
August 2025
Forensic Medicine, Forensic Science and Sports Medicine Section, Department of Medicine and Surgery, University of Perugia, Perugia, Italy.
BackgroundThe integration of artificial intelligence (AI) and robotics into disability care presents transformative opportunities while simultaneously raising pressing ethical concerns. Issues related to autonomy, human dignity, and equitable access require careful consideration, particularly as these technologies reshape the dynamics of care delivery and clinical relationships. PurposeDrawing on an interdisciplinary approach that synthesizes insights from bioethical literature, illustrative case studies, and expert perspectives from healthcare, law, and technology, this reflection examines the ethical landscape of AI-supported rehabilitation and assistance.
View Article and Find Full Text PDFJ Coll Physicians Surg Pak
August 2025
Department of Emergency Medicine, The Aga Khan University Hospital, Karachi, Pakistan.
Integrating artificial intelligence (AI) in emergency department (ED) rostering represents a significant advancement in healthcare workforce management. This study examines the transformative impact of AI-driven systems on ED staffing operations and their potential to optimise resource allocation. AI-enabled skill-based rostering systems show significant promise in aligning staff competencies with patient needs while considering various operational constraints and staff preferences.
View Article and Find Full Text PDF