CaSPr

Converting a scientific model to a commercial application

Metanous helped HICT to develop a SAAS platform based on the scientific research carried out as part of a Vlaio project. Based on a proof-of-concept (developed to support the research), a multi-tenant, high-performance platform was developed.

CaSPr is a scientifically validated prediction model that maps future care needs and capacity. The complex models were once scalable implemented in a multi-tenant environment. This environment allows HICT to offer each of its customers a high-performance environment in which specific simulations can be analysed.

This prediction model for estimating capacity changes in hospitals is a valuable tool for hospital administrators and government officials responsible for managing healthcare in a given region.

The model takes into account various factors that can influence hospital capacity, such as the number of admitted patients, the availability of beds, and the presence of medical staff.

By analyzing this data, the model can make predictions about future hospital capacity and potential needs for additional resources, such as more or fewer staff members or extra beds. This helps hospitals better meet patient demands and prevent potential shortages.