Optimizing patient movement


Sometimes patients feel good enough to be discharged from the hospital, but they stay there because they do not have adequate care, support or equipment near or around the house. Although they may recover faster at home, they remain in hospital to continue their treatment. This leads to longer waiting times for other patients, lack of available beds and generates additional hiring costs and affects the work schedule of medical staff.

Although not all factors that influence a longer hospital stay can be influenced, individual organizations can improve their situation, for example by modeling the flow of patients. It is a simulation model that allows hospitals to support patient management, bed management, logistics, supporting patient movement and bed use and increasing the efficient allocation of resources.

The use itself is very simple: we present information about departments, staff, changes in the working model and the IT solution. We randomly simulate – or with a defined distribution – the influence of patients in the treatment process. Due to this, we can control “practically” how our health system works, what the queues are and how much profit we generate. In addition to optimization, this model also offers the possibility to analyze scenarios – to test changes before they are implemented.