Maria-Anna Fengou

A New Framework Architecture for Next Generation e-Health Services

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 European Telecommunications Standards Institute (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 patients bio and context sensor networks. Finally, we demonstrate the deployment of a telemonitoring service in smart home environment based on the proposed framework architecture.

Group profile management in ubiquitous healthcare environment

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.

A profile-based Trust Management scheme for Ubiquitous Healthcare environment

Ubiquitous Healthcare environment materializes the patient-centric paradigm providing healthcare services without spatial and temporal limitations. However, the nature of Ubiquitous Healthcare services requiring exchange of sensitive personal data raises trust issues. In this paper, we propose a profile-based Trust Management scheme that enables the patient to select the most trustworthy Healthcare Provider in a Ubiquitous Healthcare environment. Furthermore, we propose an extended User Profile structure integrating trust-related information in order to enhance the functionality of the proposed Trust Management scheme.

Ubiquitous Healthcare Profile Management Applying Smart Card Technology

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.

Towards personalization of Trust Management service for ubiquitous healthcare environment

In healthcare, trust is considered to be the key factor for the provision of effective healthcare services. Thus, ubiquitous healthcare environment incorporate Trust Management systems or services for enabling the creation of confident and secure background required for the provision of healthcare services. In this paper the concept of personalized Trust Management service is introduced. However, since this approach makes the service vulnerable to users subjectivity in this paper is proposed a mechanism that determines the proper in case personalization factor. Especially, it quantifies the Quality of trust Information that user has acquired from past interactions and determines if he/she is capable to discover and select healthcare providers. The introduced mechanism is deployed on a Fuzzy Interference System and its performance was evaluated through simulations in MATLAB/SIMULINK environment.

A new telemedicine framework handling the emergency room overload

Nowadays, the rate of people incoming to the emergency room pointing a health problem is steadily increased. This paper introduces a new telemedicine framework that addresses this problem. It allows medical experts to estimate the real health condition of conditional (c-) patients, and then consult them to visit a hospital or not. This framework combines elements such as an expanded electronic medical record enriched with real time acquired context data as well as several actors profiles. The frameworks concept has taken into consideration the medical practice followed by the experts while addressing patients suffering from certain disorders.

A novel trust evaluation method for Ubiquitous Healthcare based on cloud computational theory

The notion of trust is considered to be the cornerstone on patient-psychiatrist relationship. Thus, a trustfully background is fundamental requirement for provision of effective Ubiquitous Healthcare (UH) service. In this paper, the issue of Trust Evaluation of UH Providers when register UH environment is addressed. For that purpose a novel trust evaluation method is proposed, based on cloud theory, exploiting User Profile attributes. This theory mimics human thinking, regarding trust evaluation and captures fuzziness and randomness of this uncertain reasoning. Two case studies are investigated through simulation in MATLAB software, in order to verify the effectiveness of this novel method.

A Trust Assessment mechanism for Ubiquitous Healthcare environment employing cloud theory.

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.

Towards Personalized Services in the Healthcare Domain

Healthcare services are designed for enabling the provision of medical care to the patient. The traditional healthcare services are based on the doctor-centric paradigm. Essentially, they enable healthcare providers to assess patients’ health status based on information derived from medical examination and information stored in patient’s electronic Medical Health Records (eMHRs) [1]. Hence, it is crucial for patient’s health data to be digitalized and organized in such a way allowing their exploitation by the healthcare provider at a later point of time [2]. The doctor-centric healthcare services enhance healthcare providers’ diagnosing skills and enable them to give patients accurate treatment directions aiming to their earlier and safer de-hospitalization.

Unsupervised clustering of patient-centric models to cluster-centric models for ubiquitous healthcare environment

In this paper we present an approach based on data-driven clustering of patient-centric models for ubiquitous healthcare environments. The use of clusters of models instead of patient-specific models offers the advance of dynamic reconfiguration of the models according to upcoming healthcare events that appear for members of the cluster. The healthcare events are related to the patients health condition.