AIMC Topic: Emergency Service, Hospital

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Comparison of machine learning classifiers for influenza detection from emergency department free-text reports.

Journal of biomedical informatics
Influenza is a yearly recurrent disease that has the potential to become a pandemic. An effective biosurveillance system is required for early detection of the disease. In our previous studies, we have shown that electronic Emergency Department (ED) ...

A Controlled Trial Using Natural Language Processing to Examine the Language of Suicidal Adolescents in the Emergency Department.

Suicide & life-threatening behavior
What adolescents say when they think about or attempt suicide influences the medical care they receive. Mental health professionals use teenagers' words, actions, and gestures to gain insight into their emotional state and to prescribe what they beli...

Reducing the incidence of oxyhaemoglobin desaturation during rapid sequence intubation in a paediatric emergency department.

BMJ quality & safety
OBJECTIVES: Rapid sequence intubation (RSI) is the standard for definitive airway management in emergency medicine. In a video-based study of RSI in a paediatric emergency department (ED), we reported a high degree of process variation and frequent a...

A medical cost estimation with fuzzy neural network of acute hepatitis patients in emergency room.

Computer methods and programs in biomedicine
Taiwan is an area where chronic hepatitis is endemic. Liver cancer is so common that it has been ranked first among cancer mortality rates since the early 1980s in Taiwan. Besides, liver cirrhosis and chronic liver diseases are the sixth or seventh i...

The Quebec rural emergency department project: a cross-sectional study of a potential two-pronged strategy in the knowledge transfer process.

PloS one
INTRODUCTION: Health services research generates useful knowledge. Promotion of implementation of this knowledge in medical practice is essential. Prior to initiation of a major study on rural emergency departments (EDs), we deployed two knowledge tr...

Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: (1) To develop an automated eligibility screening (ES) approach for clinical trials in an urban tertiary care pediatric emergency department (ED); (2) to assess the effectiveness of natural language processing (NLP), information extractio...

Utilizing artificial intelligence and medical experts to identify predictors for common diagnoses in dyspneic adults: A cross-sectional study of consecutive emergency department patients from Southern Sweden.

International journal of medical informatics
OBJECTIVE: Half of all adult emergency department (ED) visits with a complaint of dyspnea involve acute heart failure (AHF), exacerbation of chronic obstructive pulmonary disease (eCOPD), or pneumonia, which are often misdiagnosed. We aimed to create...

Enhancing Vaccine Safety Surveillance: Extracting Vaccine Mentions from Emergency Department Triage Notes Using Fine-Tuned Large Language Models.

Studies in health technology and informatics
This study evaluates fine-tuned Llama 3.2 models for extracting vaccine-related information from emergency department triage notes to support near real-time vaccine safety surveillance. Prompt engineering was used to initially create a labeled datase...

ChatGPT-supported patient triage with voice commands in the emergency department: A prospective multicenter study.

The American journal of emergency medicine
BACKGROUND: Triage aims to prioritize patients according to their medical urgency by accurately evaluating their clinical conditions, managing waiting times efficiently, and improving the overall effectiveness of emergency care. This study aims to as...