WS-Vent: Design of a workstation to support decision-making in critically ill patients under invasive mechanical ventilation

Project focused on the development of a clinical workstation for critically ill patients undergoing invasive mechanical ventilation in the ICU. It integrates clinical data, ventilatory parameters and physiological signals into an interoperable platform that improves continuous patient monitoring. Its approach facilitates the identification of clinical patterns, optimizes patient-ventilator interaction and contributes to a more efficient management of healthcare resources in highly complex intensive care environments.

Develop and validate an advanced workstation that integrates large volumes of clinical data to improve real-time decision-making in the ICU. The project seeks to optimize clinical workflows, reduce complications associated with mechanical ventilation and improve the quality of care through more accurate and continuous monitoring of the critical patient, facilitating early interventions based on reliable data.

• Development and evaluation of a multi-platform web-based tool that integrates multiple physiological indicators and alarms into different views, enabling both rapid and in-depth assessment of the current status of critically ill patients under invasive mechanical ventilation in ICU settings.
• Provision of insights into patient–ventilator interaction quality to optimise safety in mechanical ventilation.
• From a user experience perspective, the tool has received strong acceptance among healthcare professionals in real clinical environments.