With the advent of new mobile technologies and new portable sensors, systems to monitor patients affected by chronic diseases have become a reality. With the aging of society and the surge of patients with chronic conditions the development of monitoring infrastructures has become a major goal for the developing and developed countries. Despite the importance of this goal, the first generation of personal health systems (PHSs) failed to reach a wide adoption, largely due to the excessive amount of information presented to patients and doctors and lack of interoperability with standard formats such as HL7. Second generation PHSs are now focusing on processing the data to provide medical doctors and patients with prefiltered, structured and interoperable information, in which the human computer interfaces (HCI) are user friendly and the handling of the co-morbidities is done by means of evidence-based medicine.
Within this workshop we will focus on advancements in the area of personal health systems, dealing with problems concerning: complex patients, chronic diseases monitoring, big data analysis, machine learning in medicine, intelligent sensors, information compression, predictive models, interoperability, expert systems, evidence based medicine, HCI.