AIMC Topic: Quality Improvement
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Integration of Virtual Technology and Artificial Intelligence Improves Satisfaction, Patient Safety, and Nursing Workforce Efficiency.
Journal of nursing care quality
Feb 25, 2025
BACKGROUND: Virtual care technology including artificial intelligence (AI) may augment nursing functions creating flexibility in staffing that reduces workforce shortages and enhances patient safety.
Accelerated Multi-b-Value DWI Using Deep Learning Reconstruction: Image Quality Improvement and Microvascular Invasion Prediction in BCLC Stage A Hepatocellular Carcinoma.
Academic radiology
Feb 17, 2025
RATIONALE AND OBJECTIVES: To investigate the effect of accelerated deep-learning (DL) multi-b-value DWI (Mb-DWI) on acquisition time, image quality, and predictive ability of microvascular invasion (MVI) in BCLC stage A hepatocellular carcinoma (HCC)...
Clinician Experiences With Ambient Scribe Technology to Assist With Documentation Burden and Efficiency.
JAMA network open
Feb 3, 2025
IMPORTANCE: Timely evaluation of ambient scribing technology is warranted to assess whether this technology can lessen the burden of clinical documentation on clinicians.
Entity-enhanced BERT for medical specialty prediction based on clinical questionnaire data.
PloS one
Jan 30, 2025
A medical specialty prediction system for remote diagnosis can reduce the unexpected costs incurred by first-visit patients who visit the wrong hospital department for their symptoms. To develop medical specialty prediction systems, several researche...
From errors to excellence: the pre-analytical journey to improved quality in diagnostics. A scoping review.
Clinical chemistry and laboratory medicine
Jan 28, 2025
This scoping review focuses on the evolution of pre-analytical errors (PAEs) in medical laboratories, a critical area with significant implications for patient care, healthcare costs, hospital length of stay, and operational efficiency. The Covidence...
DANTE-CAIPI Accelerated Contrast-Enhanced 3D T1: Deep Learning-Based Image Quality Improvement for Vessel Wall MRI.
AJNR. American journal of neuroradiology
Jan 8, 2025
BACKGROUND AND PURPOSE: Accelerated and blood-suppressed postcontrast 3D intracranial vessel wall MRI (IVW) enables high-resolution rapid scanning but is associated with low SNR. We hypothesized that a deep-learning (DL) denoising algorithm applied t...
Rationale and design of the GOLDEN BRIDGE II: a cluster-randomised multifaceted intervention trial of an artificial intelligence-based cerebrovascular disease clinical decision support system to improve stroke outcomes and care quality in China.
Stroke and vascular neurology
Dec 30, 2024
BACKGROUND: Given the swift advancements in artificial intelligence (AI), the utilisation of AI-based clinical decision support systems (AI-CDSSs) has become increasingly prevalent in the medical domain, particularly in the management of cerebrovascu...
Artificial intelligence in academic writing: a detailed examination.
International journal of nursing education scholarship
Dec 18, 2024
INTRODUCTION: As AI tools have become popular in academia, concerns about their impact on student originality and academic integrity have arisen.
Large language models can accurately populate Vascular Quality Initiative procedural databases using narrative operative reports.
Journal of vascular surgery
Dec 16, 2024
OBJECTIVE: Participation in the Vascular Quality Initiative (VQI) provides important resources to surgeons, but the ability to do so is often limited by time and data entry personnel. Large language models (LLMs) such as ChatGPT (OpenAI) are examples...
Leveraging artificial intelligence to reduce diagnostic errors in emergency medicine: Challenges, opportunities, and future directions.
Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
Dec 15, 2024
Diagnostic errors in health care pose significant risks to patient safety and are disturbingly common. In the emergency department (ED), the chaotic and high-pressure environment increases the likelihood of these errors, as emergency clinicians must ...
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