Articles: emergency-medicine.
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As artificial intelligence (AI) expands its presence in healthcare, particularly within emergency medicine (EM), there is growing urgency to explore the ethical and practical considerations surrounding its adoption. AI holds the potential to revolutionize how emergency physicians (EPs) make clinical decisions, but AI's complexity often surpasses EPs' capacity to provide patients with informed consent regarding its use. This article underscores the crucial need to address the ethical pitfalls of AI in EM. ⋯ The central question arises: Are EPs equipped with the necessary knowledge to offer well-informed consent regarding clinical AI? Collaborative efforts between EPs, bioethicists, AI researchers, and healthcare administrators are essential for the development and implementation of optimal AI practices in EM. To facilitate informed consent about AI, EPs should understand at least seven key areas: (1) how AI systems operate; (2) whether AI systems are understandable and trustworthy; (3) the limitations of and errors AI systems make; (4) how disagreements between the EP and AI are resolved; (5) whether the patient's personally identifiable information (PII) and the AI computer systems will be secure; (6) if the AI system functions reliably (has been validated); and (7) if the AI program exhibits bias. This article addresses each of these critical issues, aiming to empower EPs with the knowledge required to navigate the intersection of AI and informed consent in EM.
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Eur J Trauma Emerg Surg · Feb 2024
Opportunities and barriers for prehospital emergency medical services research in the Netherlands; results of a mixed-methods consensus study.
Quality improvement in prehospital emergency medical services (EMS) can only be achieved by high-quality research and critical appraisal of current practices. This study examines current opportunities and barriers in EMS research in the Netherlands. ⋯ Barriers for prehospital EMS research in the Netherlands include issues regarding the use of patient data, privacy and legislation, funding and research culture in EMS organizations. Opportunities to increase scientific productivity in EMS research include the development of a national strategy for EMS data and the incorporation of EMS topics in research agendas of national medical professional associations.
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Pediatric emergency care · Feb 2024
Impact of a Pediatric Emergency Medicine Pharmacist, Institutional Guideline, and Electronic Order Set on Empiric Antimicrobial Use for Febrile Neutropenia.
This study evaluated the difference in appropriateness of antimicrobial selection in pediatric patients with febrile neutropenia (FN) after implementation of an institutional guideline, a dedicated pediatric emergency medicine (EM) pharmacist, and an electronic order set. ⋯ This study demonstrated the positive impact a pediatric EM pharmacist along with an institutional guideline and an electronic order set have on appropriate antimicrobial selection in pediatric FN patients. Institutions should consider multipronged approaches to improve the selection and time to administration of appropriate empiric antimicrobials in the ED.
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The 2021 Surviving Sepsis Campaign Guidelines recommend administration of antimicrobials within the first hour of recognition of sepsis. Over the last decade, several studies have demonstrated improved time-to-antibiotic administration and antibiotic appropriateness when a pharmacist was involved in the care of patients with sepsis. To our knowledge, no studies evaluating the appropriate use of antibiotics in sepsis driven entirely by an Emergency Medicine (EM) Clinical Pharmacist Practitioner (CPP) have been published. The purpose of this study is to evaluate the impact of an EM CPP-driven protocol on antimicrobial interventions in patients with sepsis in the emergency department (ED). ⋯ In this small, single-center study, an EM Clinical Pharmacist Practitioner-driven protocol for patients with sepsis in the emergency department improved the rate of appropriate empiric antimicrobial selection and time-to-antibiotic administration.