Abstract-The challenge for fast and low-cost deployment of ubiquitous personalized e-Health services has prompted us to propose a new framework architecture for such services. We have studied the operational features and the environment of e-Health services and we led to a framework structure that extends the ETSI/Parlay architecture, which is used for the deployment of standardized services over the next generation IP networks. We expanded the ETSI/Parlay architecture with new service capability features as well as sensor, profiling and security mechanisms. The proposed framework assists the seamless integration, within the e-Health service structure, of diverse facilities provided by both the underlying communication and computing infrastructure as well as the patient's bio and context sensor networks. Finally, we demonstrate the deployment of a tele-monitoring service in smart home environment based on the proposed framework architecture.Index Terms-ETSI/Parlay architecture, personalized healthcare services, profiling mechanisms, sensor networks mechanisms, security mechanisms. I. INTRODUCTIONY its nature, e-Health domain is a multidisciplinary area that is strongly influenced by many different scientific and technology fields. In last decade, many of the key visions of the medical world have taken shape thanks to advances in Information and Communications Technology (ICT). The provision of healthcare services everywhere and at any time, known as ubiquitous healthcare, is becoming a reality, as the ICT concepts of personalized services, service mobility and Spyros L. Fengos is with the Department of Cardiology, General Hospital "Agia Olga" in Athens, Greece (e-mail: sfengos@gmail.com).Nikolaos G. Lazarou is with the Department of Emergency Medicine, Rion University Hospital, Greece (e-mail: lazarou.nikolaos@gmail.com).context awareness have been adopted by the modern medical practice [1], [2]. In many cases, the establishment of ubiquitous healthcare meets the rising demand for personalized healthcare services with low costs and patient's efficient monitoring.In fact, ubiquitous healthcare has shifted the conventional healthcare provision paradigm to a new one, hereafter referred as Next Generation e-Health (NGeH) paradigm. NGeH emphasizes on the individual's disease prevention, proactive actions, life quality improvement and, under concrete circumstances, on-spot (out-hospital) provision of emergency assistance by delivering personalized healthcare services at the right time, right place and right manner without limitations on time and location [3]. NGeH paradigm encourages individuals to have a normal life regardless of any health problem. For this reason, it encompasses innovative medical practices that are concordant with the real individual's needs, habits, preferences, perspectives, living conditions, or any peculiarity, as they are depicted in individual's profile.Moving towards such medical practices, it is obvious that conventional frameworks for healthcare provision are not able to support efficient...

Nowadays, ubiquitous healthcare is of utmost importance in the patient-centric model. Furthermore, the personalization of ubiquitous healthcare services plays a very important role to make the patient-centric model a reality. The personalization of the ubiquitous healthcare services is based on the profiles of the entities participating in these services. In this paper, we propose a group profile management system in a ubiquitous healthcare environment. The proposed system is responsible for the dynamic creation of a group profile and its management.

Mental healthcare domain highlights the significance of trustworthiness between patient and psychiatrist for treatment process. In this paper, the issue of assessing psychiatrist trustworthiness from patient perspective, within a Ubiquitous Healthcare (UH) environment, is addressed. To meet that challenge, a Trust Assessment mechanism mimicking human cognitive judgment, is proposed. The exploitation of innovative fuzzy-probabilistic transformation model, denoted as cloud, for mechanism deployment enables fuzziness as well as adhered randomness of cognitive perception and assessment to be captured. A set of simulations within MATLAB software environment verify the introduced mechanism efficiency.

This is the unspecified version of the paper.This version of the publication may differ from the final published version. Abstract. Nowadays, the patient-centric healthcare approach is focused on ubiquitous healthcare services. Furthermore, the adoption of cloud computing technology leads to more efficient ubiquitous healthcare systems. Moreover, the personalization of the delivery of ubiquitous healthcare services is enabled with the introduction of user profiles. In this paper, we propose five generic healthcare profile structures corresponding to the main categories of the participating entities included in a typical ubiquitous healthcare system in a cloud computing environment. In addition, we propose a profile management system incorporating smart card technology to increase its efficiency and the quality of the provided services of the ubiquitous healthcare system. Permanent

A shift from the doctor-centric model to a patient-centric model is required to face the challenges of the healthcare sector. The vision of patient-centric model can be materialized integrating ubiquitous healthcare and the notion of personalization in services. Cloud computing can be the underlying technology for ubiquitous healthcare. The use of profiles enables the personalization in healthcare services and the use of profile management systems facilitates the deployment of these services. In this paper, we propose a profile management system in ubiquitous healthcare cloud computing environment. The proposed system exploits the cloud computing technology and the smart card technology to increase the efficiency and the quality of the provided healthcare services in the context of the patient-centric model. Furthermore, we propose generic healthcare profile structures corresponding to the main classes of the participating entities in a ubiquitous healthcare cloud computing environment.