AIMC Topic: Ambulatory Care
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Prediction of outpatient visits for allergic rhinitis using an artificial intelligence LSTM model - a study in Eastern China.
BMC public health
Apr 9, 2025
BACKGROUND: Allergic rhinitis is a common disease that can affect the health of patients and bring huge social and economic burdens. In this study, we developed a model to predict the incidence rate of allergic rhinitis so as to provide accurate info...
Comparison of Initial Artificial Intelligence (AI) and Final Physician Recommendations in AI-Assisted Virtual Urgent Care Visits.
Annals of internal medicine
Apr 4, 2025
BACKGROUND: Whether artificial intelligence (AI) assistance is associated with quality of care is uncertain.
The advance of artificial intelligence in outpatient urology: current applications and future directions.
Current opinion in urology
Mar 20, 2025
PURPOSE OF REVIEW: Prudent integration of artificial intelligence (AI) into outpatient urology has already begun to revolutionize clinical workflows, improve administrative efficiency, and automate mundane and laborious tasks in the clinic setting.
Using Machine Learning to Fight Child Acute Malnutrition and Predict Weight Gain During Outpatient Treatment with a Simplified Combined Protocol.
Nutrients
Dec 6, 2024
BACKGROUND/OBJECTIVES: Child acute malnutrition is a global public health problem, affecting 45 million children under 5 years of age. The World Health Organization recommends monitoring weight gain weekly as an indicator of the correct treatment. Ho...
Development of Automated Triggers in Ambulatory Settings in Brazil: Protocol for a Machine Learning-Based Design Thinking Study.
JMIR research protocols
Aug 12, 2024
BACKGROUND: The use of technologies has had a significant impact on patient safety and the quality of care and has increased globally. In the literature, it has been reported that people die annually due to adverse events (AEs), and various methods e...
Emergency department risk model: timely identification of patients for outpatient care coordination.
The American journal of managed care
May 1, 2024
OBJECTIVE: Major depressive disorder (MDD) is linked to a 61% increased risk of emergency department (ED) visits and frequent ED usage. Collaborative care management (CoCM) models target MDD treatment in primary care, but how best to prioritize patie...
Development and Validation of a Natural Language Processing Model to Identify Low-Risk Pulmonary Embolism in Real Time to Facilitate Safe Outpatient Management.
Annals of emergency medicine
Mar 2, 2024
STUDY OBJECTIVE: This study aimed to (1) develop and validate a natural language processing model to identify the presence of pulmonary embolism (PE) based on real-time radiology reports and (2) identify low-risk PE patients based on previously valid...
[Clinical application of large language models : Does ChatGPT replace medical report formulation? An experience report].
Innere Medizin (Heidelberg, Germany)
Oct 16, 2023
Artificial intelligence (AI)-based language models, such as ChatGPT offer an enormous potential for research and medical care but also for clinical workflow optimization by making medical documentation easier and more efficient in taking over standar...
Word Embedding and Clustering for Patient-Centered Redesign of Appointment Scheduling in Ambulatory Care Settings.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 21, 2022
. A key to a more efficient scheduling systems is to ensure appointments are designed to meet patient's needs and to design and simplify appointment scheduling less prone to error. Electronic Health Records (EHR) consist of valuable information about...
Reducing negative emotions in children using social robots: systematic review.
Archives of disease in childhood
Mar 8, 2021
BACKGROUND: For many children, visiting the hospital can lead to a state of increased anxiety. Social robots are being explored as a possible tool to reduce anxiety and distress in children attending a clinical or hospital environment. Social robots ...
Robotics
Female
Humans
Evaluation Studies as Topic
Infant, Newborn
Infant
Outcome Assessment, Health Care
Male
Psychological Distress
Child
Anxiety Disorders
Ambulatory Care
Adolescent
Observational Studies as Topic
Child, Preschool
Randomized Controlled Trials as Topic
Social Interaction
Expressed Emotion
Hostility
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