The DISCIPULUS project aims to produce a research roadmap for the realisation of the Digital Patient, an initiative to provide an integrative, sustainable approach to using patient information and computational models in the clinic.
An ever increasing wealth of information is collected by health professionals. At the same time, predictive models of physiological systems are evolving rapidly. Many human diseases are complex, long-term and interconnected with other conditions, making their management difficult. The aim of the Digital Patient initiative is to develop an integrative approach to health prediction using patient-specific information and predictive models.
The DISCIPULUS project aims to direct the research agenda by consultation and collaboration with the clinical, research and industrial communities. It is important in framing the necessary steps in the Digital Patient to decipher what it is that would be most useful and most trusted in the clinic, and what challenges can be foreseen. DISCIPULUS will provide a common and inclusive research agenda.
The main aims of the DISCIPULUS Project are:
For further information on the Digital Patient, visitwww.digital-patient.net
