The Problem:
Nurses and caregivers often miss early warning signs of symptoms such as phlebitis or sepsis due to their workload and due to fragmented patient information.
The delay of interventions which should occur during the infusion drive up hospitalizations, costs, and risks.
Patient outcomes can suffer because of this, not only leading to a poor outcome to the infusion but to decreased patient satisfaction and overall health.
Our Solution: InfuseHub AI
We are developing proprietary AI models that will be used to provide insights to the nursing staff to improve patient outcomes.
Our AI Models will be trained to detect the likelihood of negative side effects such as phlebitis and sepsis.
These models will act as an early warning to the nurses, prompting them to be on the lookout potential issues during their procedures, with the goal of improving patient outcomes.
The models do not make decisions for the nursing staff, it provides easy to understand analysis based on mathematical and scientific rigor.