RenalTeam

Identified Problem

The primary concern is preventing hospitalizations for dialysis patients, as the care providers want to avoid this outcome for their patients. The challenge is to identify patients at high risk of hospitalization using available clinical data.

AI Solution

An AI model was developed to predict patient hospitalizations and treatment cancellations using historical and real-time clinical data. This model aims to assist nurses in their care of patients by highlighting where and when interventions can be made to improve patient welfare.

Key Features

• The AI model uses historical and real-time clinical data to make predictions.
• It identifies patients with a high probability of hospitalization.
• The model highlights when and where interventions can be made.
• It is intended as a tool to assist nurses, not to replace them, and nurses make the final decisions.

Benefits of AI Solution

• The AI model is unbiased and can process a large volume of clinical data.
• It assists nurses in patient care, helping them to identify at-risk patients.
• It helps improve patient welfare by highlighting opportunities for timely interventions.

Impact of AI Solution

• The nurses were convinced that the model is a tool to aid them in caring for their patients.