Better effectiveness and efficiency by measuring and modelling of interventional therapy
Ageing populations are driving up the costs of healthcare. The number of people older than 60 will triple within a generation. Elderly people more often have combinations of chronic or acute diseases. Thus an increasing number of patients will have to be diagnosed and treated in the hospital, which requires up-to-date diagnostic tools and interventions. Advanced imaging tools have already been shown to improve diagnosis and, in the same way, minimally invasive interventional treatments have been shown to reduce costs compared to traditional open surgery. Benefit builds upon previous projects in the healthcare domain, which have provided additional clinical information from medical imaging as well as an architecture to integrate information sources, visualisation means and device actuators during interventions. These building blocks have reached a degree of maturity that allows us to make a subsequent step to quantify data from multiple sources and apply them in models and workflow support before, during and at the end of an intervention. Benefit addresses improvements in areas like image-guided intervention and treatment (igit) – treatment planning, decision support and simulation, resolution improvement, exact positioning of invasive devices – and medical data it – clinical decision support systems; image/signal processing and analysis, modelling.