What is DISCIPULUS?

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:

• To consolidate the research and consultation carried out so far on the roles that predictive models might play in healthcare in the future. In particular we will attempt to quantify the potential of existing research to make an impact in the clinical decision-making process.
• To capture and quantify the needs of relevant stakeholders. To discover the clinical problems that could benefit most from the Digital Patient. What concerns do clinicians have about physiological modelling, and what standards are needed
• To develop a vision and sound ICT research agenda around the Digital Patient.

For further information on the Digital Patient, visitwww.digital-patient.net