Table 3 Practical utility of the decision support tool

Real-time Monitoring and Alerts

Continuously analyzes incoming patient data to identify those at high risk of requiring mechanical ventilation and alerts medical staff for timely intervention.

Resource Allocation

Predicting ventilation needs is crucial during peak demand periods and aids in the efficient allocation of ventilators and ICU beds.

Training and Education

It serves as an educational resource for medical staff, especially those in training, by providing insights into the predictive factors for respiratory support needs.

Data-Driven Decisions

Facilitates a more data-driven approach to patient care, reducing variability in clinical judgment and potentially leading to more standardized care pathways.

Integration with Electronic Health Records (EHRs)

Integrates with EHRs to leverage historical patient data for more accurate predictions and contributes to a comprehensive patient care record.