Prolonged life expectancy along with the increasing complexity of medicine and health services
raises health costs worldwide dramatically. Whilst the smart health concept has much potential
to support the concept of the emerging P4-medicine (preventive participatory predictive and
personalized) such high-tech medicine produces large amounts of high-dimensional
weakly-structured data sets and massive amounts of unstructured information. All these
technological approaches along with big data are turning the medical sciences into a
data-intensive science. To keep pace with the growing amounts of complex data smart hospital
approaches are a commandment of the future necessitating context aware computing along with
advanced interaction paradigms in new physical-digital ecosystems. The very successful
synergistic combination of methodologies and approaches from Human-Computer Interaction (HCI)
and Knowledge Discovery and Data Mining (KDD) offers ideal conditions for the vision to support
human intelligence with machine learning. The papers selected for this volume focus on hot
topics in smart health they discuss open problems and future challenges in order to provide a
research agenda to stimulate further research and progress.
