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Generation of Trauma Rush Call in Managing Patients With Road Traffic Injuries Visiting the Emergency Department: A Retrospective Analysis.
Cureus
December 2024
Emergency Medicine Department, Aga Khan University, Karachi, PAK.
Background: Road traffic injuries (RTIs) are currently the ninth most common cause of mortality and are expected to increase in the future. RTIs rank in the top three reasons why young people die. Because of the high incidence and mortality risk, proper trauma care has been prioritized for RTI patients who present to the emergency department.
View Article and Find Full Text PDFThe use of laser-assisted cart positioning significantly reduces the docking time of multimodular robotic systems.
J Robot Surg
January 2025
Department of Urology, Medical Faculty Carl Gustav Carus, TU Dresden, Fetscherstr. 74, 01307, Dresden, Germany.
The Hugo RAS system is characterized by its multimodular design, which leads to an increased docking effort. Exact data for docking time and the learning curve is missing. We describe for the first time the use of a laser-guided cart positioning to reduce the docking time.
View Article and Find Full Text PDFEstimating the Budget Impact and Joint Replacement Avoidance by Implementing a Standardized Education and Exercise Therapy Program for Hip and Knee Osteoarthritis in a Publicly Insured Healthcare System.
Arthritis Care Res (Hoboken)
December 2024
University of Calgary, Calgary, Alberta, Canada.
Objective: Estimate the budget impact of funding a standardized education and exercise therapy program (GLA:D®) for people with hip and knee OA waiting for total joint replacement (TJR) consultation in a universal publicly insured healthcare system in Canada.
Methods: We built a budget impact analysis (BIA) model to estimate the annual cost of providing GLA:D® program to people waiting for TJR consultation and then forecasted a three-year budget cycle. The base case assumes 40% attend GLA:D®, 11% avoid surgery, uniform care delivery, training costs are incurred separately, and the healthcare system has enough trained staff to meet demand.
Artificial intelligence in radiation therapy treatment planning: A discrete choice experiment.
J Med Radiat Sci
December 2024
Centre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, New South Wales, Australia.
Introduction: The application of artificial intelligence (AI) in radiation therapy holds promise for addressing challenges, such as healthcare staff shortages, increased efficiency and treatment planning variations. Increased AI adoption has the potential to standardise treatment protocols, enhance quality, improve patient outcomes, and reduce costs. However, drawbacks include impacts on employment and algorithmic biases, making it crucial to navigate trade-offs.
View Article and Find Full Text PDFSodium-glucose cotransporter 2 inhibitors for chronic kidney disease: Why, when and when not.
Aust J Gen Pract
December 2024
FRCP, FRACP, Consultant Physician, Department of General Medicine and Acute Assessment Unit, Canberra Hospital, Canberra, ACT; Clinical Associate Professor, Faculty of Health and Medical Sciences, University of Western Australia, Perth, WA; Associate Professor, ANU College of Health and Medicine, Australian National University, Canberra, ACT.
Background: Chronic kidney disease (CKD) is a significant healthcare problem. More advanced stages are associated with increased mortality, morbidity and cost. Instigating measures to slow down disease progression at an early stage can save lives, and millions of dollars of taxpayers' money.
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