OBJECTIVES:  The increasing prevalence of dementia worldwide highlights the need for effective and individualized support systems for dementia treatment and care. Facing the reality of increasing internet usage as well as the large availability of digitalized information, there is a high potential for ehealth interventions. Therefore one purpose of this project is to provide a 'Personal eHealth Knowledge Space' (PeKS) for dementia patients, caregivers and medical professionals on the basis of a web-based platform. METHODS:  Within the PeKS, involved endusers will be provided disease- as well as situation-specific information from existing, evidence-based digital information (links, PDFs, videos) but also from local and regional information sources. The overall aim is to enable increased knowledge and competence by providing situation-specific and on time information. On the other hand, the PeKS includes an interactive monitoring tool, thus enhancing (shared) medical decision support by connecting patients/caregivers and medical professionals. After the technical integration of the concept, a running prototype will be available. RESULTS:  The developed prototype of the 'Personal eHealth Knowledge Space' is realized by integrating service-oriented architecture, knowledge engineering, multiagent systems, and wearable/portable device technologies. An interactive monitoring tool, based on information provided by caregivers will be realized by integrating the ‘Nurses’ Observation Scale for Geriatric Patients (NOSGER)’. Individualized information is going to be provided through push- and pull mechanisms. CONCLUSIONS: ehealth support systems addressing individual dementia patients/caregiver needs have a large potential, however they are scarce. eHealthMonitor’s overall objective is to significantly increase the individualization of personal eHealth services and thereby the quality and patients’ acceptance of electronic healthcare services for prevention, treatment and care. The research is funded by the European Commission, ICT FP7, project ID 287509.