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Influence of Practitioner Dashboard Feedback on Anesthetic Greenhouse Gas Emissions: A Prospective Performance Improvement Investigation.
J Med Syst
January 2025
Department of Anesthesiology, Perioperative and Pain Medicine, The Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1010, New York, NY, 10029, USA.
Anesthetic gases contribute to global warming. We described a two-year performance improvement project to examine the association of individualized provider dashboard feedback of anesthetic gas carbon dioxide equivalent (CDE) production and median perioperative fresh gas flows (FGF) during general anesthetics during perioperative management. Using a custom structured query language (SQL) query, hourly CDE for each anesthetic gas and median FGF were determined.
View Article and Find Full Text PDFTenecteplase for the Treatment of Pediatric Arterial Ischemic Stroke: A Safety Surveillance Report.
Neurology
February 2025
Department of Neurology, Washington University School of Medicine, St. Louis, MO.
Objectives: Intravenous tenecteplase (TNK) is increasingly used to treat adult patients with acute arterial ischemic stroke, but the risk profile of TNK in childhood stroke is unknown. This study aims to prospectively gather safety data regarding TNK administration in children.
Methods: Since December 2023, a monthly email survey was sent to participants recruited from the International Pediatric Stroke Study and Pediatric Neurocritical Care Research Group querying recent experience with TNK in childhood stroke.
Perceptions of Clients on a University-based Drug Information Service affecting Medication Safety.
Acta Med Philipp
October 2024
Department of Pharmacy, College of Pharmacy, University of the Philippines Manila.
Objectives: To assess the clients' perceptions of the UP College of Pharmacy (UPCP) Telepharmacy Service on their knowledge, decision-making, and medication safety.
Methods: The study employed a cross-sectional design administered through guided voice-call interviews using an online survey questionnaire as the data collection instrument. The inclusion criteria of the study were as follows: (1) must be at least 18 years old, (2) with no cognitive impairment, (3) must have sent a medication-related query in the UPCP Telepharmacy Service between October 2020 and July 2022, and (4) must be contacted through voice call platforms.
To meet the challenges of increasing food production demand globally, extracting insights regarding the persistent agriculture-related problems on a nationwide scale is the need of the hour. Policymakers now have limited possibilities for acquiring a comprehensive knowledge of the difficulties that farmers face on a national level. In this direction, the presented work proposes a new artificial intelligence-based pipeline to gain insights at country level regarding the farmers' demand for assistance in India.
View Article and Find Full Text PDFLarge language models in radiology: Fluctuating performance and decreasing discordance over time.
Eur J Radiol
January 2025
The University of Texas at Austin, Dell Medical School, Department of Diagnostic Medicine, Austin, TX, USA.
Objective: Since the introduction of large language models (LLMs), near expert level performance in medical specialties such as radiology has been demonstrated. However, there is limited to no comparative information of model performance, accuracy, and reliability over time in these medical specialty domains. This study aims to evaluate and monitor the performance and internal reliability of LLMs in radiology over a three-month period.
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