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http://dx.doi.org/10.1016/j.jen.2005.12.048 | DOI Listing |
Telemed J E Health
January 2025
Kaiser Permanente Division of Research, Pleasanton, California, USA.
Telemedicine use increased substantially with the COVID-19 pandemic. Understanding of the impact of telemedicine modality (video vs. phone) on post-telemedicine acute care for higher risk conditions is limited.
View Article and Find Full Text PDFSaudi Med J
January 2025
From the Model of Care (AlJohani, Al-Hazmi, Al-saedi, Al-Ahmadi), and from Healthcare Strategy Administration (Alshammary),Madinah Health Cluster, Al Madina Al Munawara, Kingdom of Saudi Arabia.
Objectives: To evaluate the impact of UCCs on reducing non-urgent Emergency Department (ED) visits and improving patient flow, focusing on metrics such as door-to-doctor time, doctor-to-decision time, and overall patient disposition.
Methods: This observational cohort pre-post study analyzed data from 198,050 ED visits to King Fahad Hospital, Al Madina Al Munawara between June 2021 and May 2023 and compared visit patterns before and after UCC implementation.
Results: Post-UCC implementation, the average door-to-doctor time decreased but was not statistically significant.
Cureus
December 2024
Department of Pediatric Emergency Care and Intensive Care Medicine, Tokyo Metropolitan Children's Medical Center, Tokyo, JPN.
Aim Preventing leaving-without-being-seen (LWBS) in children is crucial due to their inability to seek medical care independently. Because there are no studies of LWBS in Japan, the extent of this problem in Japan and its impacts on healthcare are uncertain. The present study seeks to fill this gap by investigating LWBS after triage and identifying the associated factors.
View Article and Find Full Text PDFAm J Emerg Med
December 2024
Department of Emergency Medicine, Sisli Hamidiye Etfal Training and Research Hospital, Istanbul, Turkey.
Background: The number of emergency department (ED) visits has been on steady increase globally. Artificial Intelligence (AI) technologies, including Large Language Model (LLMs)-based generative AI models, have shown promise in improving triage accuracy. This study evaluates the performance of ChatGPT and Copilot in triage at a high-volume urban hospital, hypothesizing that these tools can match trained physicians' accuracy and reduce human bias amidst ED crowding challenges.
View Article and Find Full Text PDFClin Ophthalmol
December 2024
Vitreoretinal Surgery, Acuity Eye Group, Los Angeles, CA, USA.
Purpose: Our aim is to evaluate the sensitivity and specificity of Acuity 360 telemedicine system, as compared to in-person clinic examination, in identifying clinically significant eye disease. Acuity 360 is a combination of commercially available ocular imaging devices used together to provide a comprehensive evaluation of the structures and diseases of the eye.
Methods: Observational cross-sectional study of consecutively examined patients where 19 remote examiners analyzed 80 patients using Acuity 360 images.
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