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suck abstract from ncbi


10.1016/j.ijnsa.2021.100019

http://scihub22266oqcxt.onion/10.1016/j.ijnsa.2021.100019
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suck abstract from ncbi


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pmid33426534      Int+J+Nurs+Stud+Adv 2021 ; 3 (ä): 100019
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  • Nursing and precision predictive analytics monitoring in the acute and intensive care setting: An emerging role for responding to COVID-19 and beyond #MMPMID33426534
  • Keim-Malpass J; Moorman LP
  • Int J Nurs Stud Adv 2021[Nov]; 3 (ä): 100019 PMID33426534show ga
  • As the global response to COVID-19 continues, nurses will be tasked with appropriately triaging patients, responding to events of clinical deterioration, and developing family-centered plans of care within a healthcare system exceeding capacity. Predictive analytics monitoring, an artificial intelligence (AI)-based tool that translates streaming clinical data into a real-time visual estimation of patient risks, allows for evolving acuity assessments and detection of clinical deterioration while the patient is in pre-symptomatic states. While nurses are on the frontline for the COVID-19 pandemic, the use of AI-based predictive analytics monitoring may help cognitively complex clinical decision-making tasks and pave a pathway for early detection of patients at risk for decompensation. We must develop strategies and techniques to study the impact of AI-based technologies on patient care outcomes and the clinical workflow. This paper outlines key concepts for the intersection of nursing and precision predictive analytics monitoring.
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