AIMC Topic: Patient Safety

Clear Filters Showing 181 to 190 of 202 articles

Safety and Immunogenicity of Two Doses of a Quadrivalent Meningococcal Polysaccharide Diphtheria Toxoid Conjugate Vaccine in Indian and Russian Children Aged 9 to 17 Months.

Indian pediatrics
OBJECTIVE: Evaluation of tolerability, safety and immunogenicity of a two-dose series of a quadrivalent meningococcal polysaccharide diptheria toxoid conjugate (ACYW-D) vaccine in Indian and Russian infants/toddlers.

Using Machine Learning-Based Multianalyte Delta Checks to Detect Wrong Blood in Tube Errors.

American journal of clinical pathology
OBJECTIVES: An unfortunate reality of laboratory medicine is that blood specimens collected from one patient occasionally get mislabeled with identifiers from a different patient, resulting in so-called "wrong blood in tube" (WBIT) errors and potenti...

A Deep-Learning System for Fully-Automated Peripherally Inserted Central Catheter (PICC) Tip Detection.

Journal of digital imaging
A peripherally inserted central catheter (PICC) is a thin catheter that is inserted via arm veins and threaded near the heart, providing intravenous access. The final catheter tip position is always confirmed on a chest radiograph (CXR) immediately a...

Screening Electronic Health Record-Related Patient Safety Reports Using Machine Learning.

Journal of patient safety
INTRODUCTION: The objective of this study was to develop a semiautomated approach to screening cases that describe hazards associated with the electronic health record (EHR) from a mandatory, population-based patient safety reporting system.

Adverse Drug Event Monitoring with Clinical and Laboratory Data Using Arden Syntax.

Studies in health technology and informatics
In times of steadily increasing numbers of administered drugs, the detection of adverse drug events (ADEs) is an important aspect of improving patient safety. At present only about 1-13% of detected ADEs are reported. Raising the number of reported A...

Automated Classification of Multi-Labeled Patient Safety Reports: A Shift from Quantity to Quality Measure.

Studies in health technology and informatics
Over the past two decades, there have seen an ever-increasing amount of patient safety reports yet the capacity of extracting useful information from the reports remains limited. Classification of patient safety reports is the first step of performin...

Automating the Identification of Patient Safety Incident Reports Using Multi-Label Classification.

Studies in health technology and informatics
Automated identification provides an efficient way to categorize patient safety incidents. Previous studies have focused on identifying single incident types relating to a specific patient safety problem, e.g., clinical handover. In reality, there ar...