The use of AI in the healthcare sector is changing the patient monitoring experience by providing instant data analysis and predictive analytics. Current AI-based systems can analyze a large number of patient factors including vital signs, vocational blood work, and imaging scans to identify signs of a patient’s deterioration. These systems support the ICU teams in making prompt decisions based on data, which helps in reducing response times and improves the patient outcome.
A research conducted by Nature Medicine stated that AI based algorithms are able to identify sepsis 12 hours before the current standard care, which can lead to saving more than 3000 lives annually. The University of Florida’s Intelligent Critical Care Center (IC³) is also developing AI-based ICU management tools that can provide assessment of the patient’s condition and probability of complications.
These AI systems do not pose a threat to the doctors, but they act as one more layer of safety, which would help to avoid the situation when important changes in the patient’s state are not noticed.
