A5079365908- Biomedical Text Mining and Ontologies
- Electronic Health Records Systems
- Context-Aware Activity Recognition Systems
- Mobile Health and mHealth Applications
- Pharmacovigilance and Adverse Drug Reactions
- Coronary Interventions and Diagnostics
- Semantic Web and Ontologies
- Cerebrovascular and Carotid Artery Diseases
- Wireless Body Area Networks
- Computational Drug Discovery Methods
- Healthcare Technology and Patient Monitoring
- Biosimilars and Bioanalytical Methods
- Pharmaceutical Practices and Patient Outcomes
- Service-Oriented Architecture and Web Services
- Privacy, Security, and Data Protection
- Machine Learning in Healthcare
- Scientific Computing and Data Management
- Distributed and Parallel Computing Systems
- IoT and Edge/Fog Computing
- Clinical practice guidelines implementation
- RNA and protein synthesis mechanisms
- Digital Mental Health Interventions
- Genomics and Phylogenetic Studies
- Data Quality and Management
- Cardiac Imaging and Diagnostics
Centre for Research and Technology Hellas
2012-2020
Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé
2014-2019
Département d'Informatique
2019
Aristotle University of Thessaloniki
2009-2018
Université Paris Cité
2014-2016
Sorbonne Paris Cité
2014-2016
Université Sorbonne Paris Nord
2014-2016
Inserm
2014-2016
Sorbonne Université
2014-2016
University of Thessaly
2011
In this paper, we present the design and development of a pervasive health system enabling self-management chronic patients during their everyday activities. The proposed integrates patient monitoring, status logging for capturing various problems or symptoms met, social sharing recorded information within community, aiming to facilitate disease management. A prototype is implemented on mobile device illustrating feasibility applicability presented work by adopting unobtrusive vital signs...
In this paper, a multiagent system (MAS) is presented, aiming to enhance monitoring, surveillance, and educational services of generic medical contact center (MCC) for chronic disease management. such home-care scenario, persistent need arises efficiently monitoring the patient contacts MCC's functionality, in order effectively manage interpret large volume data collected during sessions with system, assess use MCC resources. Software agents were adopted provide means accomplish real-time...
To analyze the attitude of physicians towards alerting in CPOE systems different hospitals countries, addressing various organizational and technical settings view not currently using a CPOE.A cross-sectional quantitative qualitative questionnaire survey. We invited 2,600 eleven from nine countries to participate. Eight had use, three participating were system.1,018 participated. The general is positive found be mostly independent country, specific their personal experience with systems....
Increased digitalization of healthcare comes along with the cost cybercrime proliferation. This results to patients' and providers' skepticism adopt Health Information Technologies (HIT). In Europe, this shortcoming hampers efficient cross-border health data exchange, which requires a holistic, secure interoperable framework. study aimed provide foundations for designing toolkit exchange within European Union (EU), conducted in scope KONFIDO project. Particularly, we present our user...
In the context of Citizen Health System (CHS) project, a modular Medical Contact Center (MCC) was developed, which can be used in monitoring, treatment, and management chronically ill patients at home, such as diabetic or congestive heart failure patients. The virtue CHS contact center is that, using any type communication telematics technology, it able to provide timely preventive prompting patients, thus, achieving better disease management. this paper, we present structure system,...
The ongoing efforts toward continuity of care and the recent advances in information communication technologies have led to a number successful personal health systems for management chronic care. These are mostly focused on monitoring efficiently patient's medical status at home. This paper aims extending home services delivery by introducing novel framework condition safety with respect medication treatment administered. For this purpose, considering body area network (BAN) advanced...
Computational signal detection constitutes a key element of postmarketing drug monitoring and surveillance. Diverse data sources are considered within the 'search space' pharmacovigilance scientists, respective analysis methods employed, all with their qualities shortcomings, towards more timely accurate detection. Recent systematic comparative studies highlighted not only event-based data-source-based differential performance across but also complementarity. These findings reinforce...
The association of low endothelial shear stress (ESS) with high-risk plaque (HRP) has not been thoroughly investigated in humans. We the local ESS and lumen remodelling patterns HRPs using optical coherence tomography (OCT), developed score, explored its prevalence clinical outcomes.A total 35 coronary arteries from 30 patients stable angina or acute syndrome (ACS) were reconstructed three dimensional (3D) OCT. was calculated computational fluid dynamics classified into low, moderate, high...
Objectives The in-vivo validation of geometrically correct three-dimensional reconstruction human coronary arteries by integrating intravascular ultrasound and biplane angiography has not been adequately investigated. purpose this study was to describe the method investigate its feasibility accuracy. Methods In 17 (mean length, 85.7±17.1 mm) from nine patients, an procedure along with a performed. From each angiographic projection, single end-diastolic frame selected in order reconstruct...
Summary Objectives: Sensor networks constitute the backbone for construction of personalized monitoring systems. Up to now, several sensor have been proposed diverse pervasive healthcare applications, which are however characterized by a significant lack open architectures, resulting in closed, non-interoperable and difficult extend solutions. In this context, we propose an reconfigurable wireless network (WSN) health monitoring, with particular emphasis its easy extension additional sensors...
Objective: Driven by the need of pharmacovigilance centres and companies to routinely collect review all available data about adverse drug reactions (ADRs) events interest, we introduce validate a computational framework exploiting dominant as well emerging publicly sources for safety surveillance.Methods: Our approach relies on appropriate query formulation acquisition subsequent filtering, transformation joint visualization obtained data. We acquired from FDA Adverse Event Reporting System...
Sensor networks constitute the backbone for construction of personalized monitoring systems. Currently, a plethora sensor diverse pervasive healthcare applications has been proposed and implemented. However, there is significant lack open architectures in field, resulting closed, non-interoperable, difficult to extend solutions. In this context, we propose an reconfigurable Wireless Network (WSN) health monitoring, with particular emphasis its easy extension additional sensors functionality...
The current work addresses the unification of Electronic Health Records related to cervical cancer into a single medical knowledge source, in context EU-funded ASSIST research project. project aims facilitate for precancer and through system that virtually unifies multiple patient record repositories, physically located different centers/hospitals, thus, increasing flexibility by allowing formation study groups "on demand" recycling records new studies. To this end, uses semantic...
Exercise constitutes an important intervention aiming to improve health and quality of life for several categories patients. Personalized exercise prescription is a rather complicated issue, requiring aspects be taken into account, e.g. patient's medical history response exercise, medication treatment, personal preferences, etc. The present work proposes ontology-based framework designed facilitate healthcare professionals in personalized prescription. encapsulates the necessary domain...
Summary Background: Errors related to medication seriously affect patient safety and the quality of healthcare. It has been widely argued that various types such errors may be prevented by introducing Clinical Decision Support Systems (CDSSs) at point care. Objectives: Although significant research conducted in field, still is a crucial issue, while few outcomes are mature enough considered for use actual clinical settings. In this paper, we present decision support framework targeting with...