Objective: This study aimed to develop a prompt engineering procedure for test question mapping and then determine the effectiveness of test question mapping using Chat Generative Pre-Trained Transformer (ChatGPT) compared to human faculty mapping.
Methods: We conducted a cross-sectional study to compare ChatGPT and human mapping using a sample of 139 test questions from modules within the Integrated Pharmacotherapeutics course series. The test questions were mapped by 3 faculty members to both module objectives and the Accreditation Council for Pharmacy Education Standards 2016 (Standards 2016) to create the "correct answer".
Objectives: Little is known about occupational co-exposure. The objective was to assess the prevalence of exposure and co-exposure to biomechanical factors and neurotoxic chemicals in French workers in 2017.
Methods: Data from the French representative survey SUMER 2017 (SUrveillance Médicale des Expositions aux Risques professionnels) were analyzed.
Background: Multiple studies have investigated the epidemic of persistent opioid use as a common postsurgical complication. However, there exists a knowledge gap in the association between the level of opioid exposure in the peri-surgical setting and post-discharge adverse outcomes to patients and healthcare settings. We analyzed the association between peri-surgical opioid exposure use and post-discharge outcomes, including persistent postsurgical opioid prescription, opioid-related symptoms (ORS), and healthcare resource utilization (HCRU).
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