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Using telemedicine and virtual healthcare to improve clinical follow-up for survivors of sexual assault and intimate partner violence: a 7-year investigation of emergency department cases.
CJEM
January 2025
Sexual Assault and Partner Abuse Care Program, The Ottawa Hospital, Ottawa, ON, Canada.
Introduction: The primary objective was to evaluate the effectiveness of telemedicine for improving clinical follow-up for survivors of sexual assault and intimate partner violence after an emergency department (ED) visit. The Sexual Assault and Partner Abuse Care Program (SAPACP) is an ED-based clinic for survivors of sexual assault/intimate partner violence. Virtual Visit, a telemedicine platform, was introduced at SAPACP in January 2020, allowing patients to attend follow-up virtually.
View Article and Find Full Text PDFFuture of Artificial Intelligence (AI) - Machine Learning (ML) Trends in Pathology and Medicine.
Mod Pathol
January 2025
Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA; Computational Pathology and AI Center of Excellence (CPACE), University of Pittsburgh, Pittsburgh, PA. Electronic address:
Artificial Intelligence (AI) and Machine Learning (ML) are transforming the field of medicine. Healthcare organizations are now starting to establish management strategies for integrating such platforms (AI-ML toolsets) which leverage the computational power of advanced algorithms to analyze data and to provide better insights which ultimately translates to enhanced clinical decision-making and improved patient outcomes. Emerging AI-ML platforms and trends in pathology and medicine are reshaping the field by offering innovative solutions to enhance diagnostic accuracy, operational workflows, clinical decision support, and clinical outcomes.
View Article and Find Full Text PDFAutomatic Virtual Reduction of Unilateral Zygomatic Fractures Based on ICP Algorithm: A Preliminary Study.
J Stomatol Oral Maxillofac Surg
January 2025
Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology; National Engineering Laboratory for Digital and Material Technology of Stomatology; Beijing Key Laboratory of Digital Stomatology; National Clinical Research Center for Oral Diseases, Beijing, China. Electronic address:
Objective To establish an automatic reduction method for unilateral zygomatic fractures based on Iterative Closes Point(ICP)algorithm. Material and Methods 60 patients with unilateral type B zygomatic fractures were included. After acquiring CT images, zygomatic fragments were segmented using self-developed software MICSys.
View Article and Find Full Text PDFVirtual screening assisted identification of a phytocompound as potent inhibitor against Candida lusitaniae; an in-silico study.
BMC Infect Dis
January 2025
Department of Clinical Laboratory Sciences, College of Applied Medical Science, King Khalid University, Abha, Saudi Arabia.
Candida lusitaniae is one of the fungal species which causes serious health illnesses including peritonitis, vaginitis and fungemia, among others. Several antifungal drugs have been designed to tackle its infections but their efficacy is still questionable due to their associated side effects. Hence, there is a need to design those drugs which possess comparatively higher degree of therapeutic potential.
View Article and Find Full Text PDFElectronic Health Record Time Allocation Among Primary Care Clinicians at the Veterans Health Administration Using Virtual Observations.
J Gen Intern Med
January 2025
VA Puget Sound Health Care System, Seattle, WA, USA.
Background: Prior research has shown that primary care clinicians (PCPs) spend a large portion of clinic visits on tasks within the electronic health record (EHR). However, no time allocation studies have been done in the Veterans Health Administration (VHA) and little is known about EHR time spent during virtual visits.
Objective: To estimate the proportion of clinician time spent working within the EHR during primary care visits at VHA clinics.
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