AIMC Topic: Quality Improvement

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Length of Stay Prediction Models for Oral Cancer Surgery: Machine Learning, Statistical and ACS-NSQIP.

The Laryngoscope
OBJECTIVE: Accurate prediction of hospital length of stay (LOS) following surgical management of oral cavity cancer (OCC) may be associated with improved patient counseling, hospital resource utilization and cost. The objective of this study was to c...

Pediatric endoscopy: how can we improve patient outcomes and ensure best practices?

Expert review of gastroenterology & hepatology
INTRODUCTION: Strategies to promote high-quality endoscopy in children require consensus around pediatric-specific quality standards and indicators. Using a rigorous guideline development process, the international Pediatric Endoscopy Quality Improve...

Systematic evaluation of common natural language processing techniques to codify clinical notes.

PloS one
Proper codification of medical diagnoses and procedures is essential for optimized health care management, quality improvement, research, and reimbursement tasks within large healthcare systems. Assignment of diagnostic or procedure codes is a tediou...

Verification of image quality improvement of low-count bone scintigraphy using deep learning.

Radiological physics and technology
To improve image quality for low-count bone scintigraphy using deep learning and evaluate their clinical applicability. Six hundred patients (training, 500; validation, 50; evaluation, 50) were included in this study. Low-count original images (75%, ...

Bolstering Advance Care Planning Measurement Using Natural Language Processing.

Journal of palliative medicine
Despite its growth as a clinical activity and research topic, the complex dynamic nature of advance care planning (ACP) has posed serious challenges for researchers hoping to quantitatively measure it. Methods for measurement have traditionally depen...

CT image denoising methods for image quality improvement and radiation dose reduction.

Journal of applied clinical medical physics
With the ever-increasing use of computed tomography (CT), concerns about its radiation dose have become a significant public issue. To address the need for radiation dose reduction, CT denoising methods have been widely investigated and applied in lo...

Increase in robot assisted operating room efficiency: A quality improvement study.

Journal of pediatric urology
INTRODUCTION: Pyeloplasties are time-sensitive, and the most common robot assisted intervention performed in pediatric urology. Early intervention is intended to avoid permanent loss of renal function with negative long-term effects if surgery is del...

Establishing a culture of highly reliable quality care.

Surgery
Reliability is the likelihood that a process will perform a required function without failure, consistent over time and personnel changes. In the rapidly evolving healthcare landscape, reliably delivering excellent surgical care demands a comprehensi...

Short-axis PET image quality improvement based on a uEXPLORER total-body PET system through deep learning.

European journal of nuclear medicine and molecular imaging
PURPOSE: The axial field of view (AFOV) of a positron emission tomography (PET) scanner greatly affects the quality of PET images. Although a total-body PET scanner (uEXPLORER) with a large AFOV is more sensitive, it is more expensive and difficult t...

Image quality improvement in bowtie-filter-equipped cone-beam CT using a dual-domain neural network.

Medical physics
BACKGROUND: The bowtie-filter in cone-beam CT (CBCT) causes spatially nonuniform x-ray beam often leading to eclipse artifacts in the reconstructed image. The artifacts are further confounded by the patient scatter, which is therefore patient-depende...