2023
DOI: 10.32549/opi-nsc-85
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Cardiopulmonary Resuscitation (CPR) during COVID-19 Pandemic

Abstract: Introduction: The COVID-19 infection has a high rate of mortality and morbidity and is extremely contagious. COVID-19 has raised attention to safety issues involving healthcare workers who perform CPR. The risk of transmission produces a dilemma to perform cardiopulmonary resuscitation (CPR) within the COVID-19 pandemic. Additionally, patient and/or family preferences, as a factor associated with Do-Not-Resuscitate (DNR). This commentary wants to provide an overview or other perspectives that may be the subjec… Show more

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Cited by 2 publications
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“…The COVID-19 pandemic poses enormous challenges to healthcare systems around the world and raises fundamental ethical questions, particularly regarding preventive measures. 6 In the modern era, vaccination is considered the most successful and cost-effective public health intervention. 4,7 However, the effectiveness of vaccination programs depends on community acceptance of the vaccine, and it is important to achieve herd immunity.…”
Section: Discussionmentioning
confidence: 99%
“…The COVID-19 pandemic poses enormous challenges to healthcare systems around the world and raises fundamental ethical questions, particularly regarding preventive measures. 6 In the modern era, vaccination is considered the most successful and cost-effective public health intervention. 4,7 However, the effectiveness of vaccination programs depends on community acceptance of the vaccine, and it is important to achieve herd immunity.…”
Section: Discussionmentioning
confidence: 99%
“…A key component of AI, ML enables computers to learn from data and make autonomous decisions (Brown, 2021). This technology can process large volumes of patient data to predict health outcomes and personalize treatment plans (Shruti & Trivedi, 2023). In nursing, ML is used to identify practice location factors (Bounsanga et al, 2022), predict pressure injuries (Song et al, 2021), categorize patients by care intensity (Ocagli et al, 2020), and enhance patient monitoring (Ng et al, 2022).…”
Section: Ai In Health Care and Nursing: Opportunities And Challengesmentioning
confidence: 99%