A Certified Registered Nurse Anesthetist (CRNA) is an advanced practice registered nurse who specializes in the administration of anesthesia and the management of patient care before, during, and after surgical procedures. CRNAs undergo rigorous education and clinical training, typically completing a master's or doctoral degree in nurse anesthesia, followed by national certification. They work independently or collaboratively with surgeons, anesthesiologists, and other healthcare professionals to provide safe and effective anesthesia care across a variety of settings, including hospitals, outpatient clinics, and emergency care facilities.
CRNAs are skilled in assessing patients’ medical histories, developing anesthesia plans tailored to individual needs, and administering different types of anesthesia such as general, regional, and local. They continuously monitor patients’ vital signs and physiological responses throughout procedures to promptly identify and manage any complications. Beyond the operating room, CRNAs also play an important role in pain management and critical care. Their expertise, clinical judgment, and ability to work in high-pressure environments make them essential providers in ensuring patient comfort, safety, and positive surgical outcomes. Additionally, CRNAs are involved in patient education, helping individuals understand the anesthesia process and postoperative care. They stay updated with the latest advancements in anesthesia techniques and technology to enhance patient outcomes. Their dedication and comprehensive skill set make them a vital part of the healthcare team.
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Caroline Francis, Hull Royal Infirmary, United Kingdom
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Nagy Habib, Imperial College London, United Kingdom
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Shifa Bangi, Oxford University Hospitals NHS Trust, United Kingdom
Title : The coincidence between spinal perineural cysts, increased intracranial pressure and the appearance of small fiber neuropathy. Exploring the relationship and (surgical) lessons to be learned
Ricky Rasschaert, AZ Rivierenland, Belgium
Title : Predicting reductions in acute pain and opioid consumption with non-opioid analgesics: A machine learning analysis of randomised controlled trials (OPERA study)
Toluwalogo Daramola, University of Nottingham, United Kingdom