BC-ISCEP: Better Care intelligent system to prevent critical events

Project aimed at developing an intelligent system based on clinical data for early detection of critical events in ICU patients. It integrates physiological signals and ventilator parameters through advanced algorithms that identify patterns of clinical deterioration. Its approach enhances continuous monitoring, optimises patient–ventilator interaction and supports more proactive care, reducing complications and improving efficiency in intensive care environments.

To develop an automated system capable of early detection of clinical risk situations in critically ill patients through continuous data analysis. The project aims to optimise ventilator synchrony, reduce sedation needs and improve clinical outcomes. It also seeks to support decision-making through artificial intelligence tools that provide relevant and actionable insights for healthcare professionals.

• Creation of integrated predictive algorithms to anticipate adverse events and prevent clinical deterioration.
• Integration of multiple physiological signals into a single clinical decision support platform.
• Deployment of automated tools to optimise rapid medical response in critical care environments.