Artificial Intelligence in the Critical Care Setting
Major
Nursing, BSN
Submission Type
Poster
Area of Study or Work
Nursing
Faculty Advisor
Amber Kujath
Location
CNS Atrium
Start Date
4-11-2026 8:30 AM
End Date
4-11-2026 9:45 AM
Abstract
In healthcare, the critical care setting is an intense and fast paced environment in which patients are very ill and require expert, round the clock care. Patients may have any number of illnesses including: sepsis, cardiac arrest, stroke, major trauma, and severe respiratory failure, as examples. Nurses are tasked with monitoring diagnostic tests, health status, delivering treatments, and responding quickly to the unstable conditions these patients present. Critical care has always been challenging, but the shortage of experienced nurses and more critically ill patients produce an unparalleled, stressful environment within which to deliver safe, high quality care. One way to assist nurses may be through the use of artificial intelligence (AI). For years, lower levels of AI have been being used in the healthcare environment through monitors and computerized programs. However, new adaptations of AI have great promise for healthcare monitoring, but also raise many concerns including: liability, legality, trust, and ethics. We will conduct a literature review about the use of AI in the critical care setting and determine the benefits and barriers of current AI use in critical care. We will use the PRISMA technique (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) that demonstrates the process of literature selection and exclusion. Our review is currently in progress.
Artificial Intelligence in the Critical Care Setting
CNS Atrium
In healthcare, the critical care setting is an intense and fast paced environment in which patients are very ill and require expert, round the clock care. Patients may have any number of illnesses including: sepsis, cardiac arrest, stroke, major trauma, and severe respiratory failure, as examples. Nurses are tasked with monitoring diagnostic tests, health status, delivering treatments, and responding quickly to the unstable conditions these patients present. Critical care has always been challenging, but the shortage of experienced nurses and more critically ill patients produce an unparalleled, stressful environment within which to deliver safe, high quality care. One way to assist nurses may be through the use of artificial intelligence (AI). For years, lower levels of AI have been being used in the healthcare environment through monitors and computerized programs. However, new adaptations of AI have great promise for healthcare monitoring, but also raise many concerns including: liability, legality, trust, and ethics. We will conduct a literature review about the use of AI in the critical care setting and determine the benefits and barriers of current AI use in critical care. We will use the PRISMA technique (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) that demonstrates the process of literature selection and exclusion. Our review is currently in progress.