Prevention against delirium
Hybrid AI system for delirium prediction to relieve the burden on nursing practice
In surgical and internal medicine hospital wards, up to 50 percent of patients experience acute but recoverable cognitive impairment, so-called delirium. Delirium leads to enormous stress in nursing practice. The care of patients with delirium is complex and time-consuming. However, delirium can be avoided if it is recognized in good time and appropriate preventive measures are taken.
The aim of the KIDELIR project is to develop hybrid AI models for delirium prediction and to support reflective nursing decisions with the close involvement of nursing professionals.
