title: Integrated Care and Connected Health Approaches Leveraging Personalised Health through Big Data Analytics.
abstract: Integrated care and connected health are two fast evolving concepts that have the potential to leverage personalised health. From the one side, the restructuring of care models and implementation of new systems and integrated care programs providing coaching and advanced intervention possibilities, enable medical decision support and personalized healthcare services. From the other side, the connected health ecosystem builds the means to follow and support citizens via personal health systems in their everyday activities and, thus, give rise to an unprecedented wealth of data. These approaches are leading to the deluge of complex data, as well as in new types of interactions with and among users of the healthcare ecosystem. The main challenges refer to the data layer, the information layer, and the output of information processing and analytics. In all the above mentioned layers, the primary concern is the quality both in data and information, thus, increasing the need for filtering mechanisms. Especially in the data layer, the big biodata management and analytics ecosystem is evolving, telemonitoring is a step forward for data quality leverage, with numerous challenges still left to address, partly due to the large number of micro-nano sensors and technologies available today, as well as the heterogeneity in the users' background and data sources. This leads to new R&amp;D pathways as it concerns biomedical information processing and management, as well as to the design of new intelligent decision support systems (DSS) and interventions for patients. In this paper, we illustrate these issues through exemplar research targeting chronic patients, illustrating the current status and trends in PHS within the integrated care and connected care world.
authors.affiliation: Aristotle University of Thessaloniki, The Medical School, Lab of Computing & Medical Informatics, Dept. of Medicine, Thessaloniki, Greece.
authors.forename: Nicos
authors.initials: N
authors.lastname: Maglaveras
authors.affiliation: Aristotle University of Thessaloniki, The Medical School, Lab of Computing & Medical Informatics, Dept. of Medicine, Thessaloniki, Greece.
authors.forename: Vassilis
authors.initials: V
authors.lastname: Kilintzis
authors.affiliation: Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece.
authors.forename: Vassilis
authors.initials: V
authors.lastname: Koutkias
authors.affiliation: Aristotle University of Thessaloniki, The Medical School, Lab of Computing & Medical Informatics, Dept. of Medicine, Thessaloniki, Greece.
authors.forename: Ioanna
authors.initials: I
authors.lastname: Chouvarda
mesh_terms: D020000:Decision Support Systems, Clinical; D019033:Delivery of Health Care, Integrated; D019468:Disease Management; D006801:Humans; D020407:Internet; D057285:Precision Medicine / Q000295:instrumentation / Q000379:methods*; D013223:Statistics as Topic / Q000379:methods*; D017216:Telemedicine; D000076251:Wearable Electronic Devices