Abstract:
: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.
journal_name
Int J Nurs Stud Advjournal_title
International journal of nursing studies advancesauthors
Keim-Malpass J,Moorman LPdoi
10.1016/j.ijnsa.2021.100019keywords:
["Acuity assessment","COVID-19","Clinical deterioration","Continuous predictive analytics monitoring","Nursing","Precision surveillance"]subject
Has Abstractpub_date
2021-11-01 00:00:00pages
100019issn
2666-142Xpii
S2666-142X(21)00001-1journal_volume
3pub_type
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