Extension of Capture Information in Pervasive Healthcare Systems: A Case Study

Research efforts in pervasive healthcare have mainly focused on software infrastructures for capture and access, multimodal interaction and manipulation of context information. In this paper we discuss the importance and the use of mechanisms for the extension of information captured from pervasive healthcare environments. Based on our findings from a field study of medical grand rounds, we developed a capture and access prototype application integrated to an association module, which automatically identifies and creates semantic relationships between patients information. This can be very helpful for physicians, which commonly try to mentally relate clinical cases to achieve a safer and more efficient health care treatment.