Vassilis Kilintzis

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We propose WELCOME, an innovative integrated care platform using wearable sensors and smart cloud computing for Chronic Obstructive Pulmonary Disease (COPD) patients with co-morbidities. WELCOME aims to bring about a change in the reactive nature of the management of chronic diseases and its comorbidities, in particular through the development of a patient(More)
BACKGROUND Errors related to medication seriously affect patient safety and the quality of healthcare. It has been widely argued that various types of such errors may be prevented by introducing Clinical Decision Support Systems (CDSSs) at the point of care. OBJECTIVES Although significant research has been conducted in the field, still medication safety(More)
HL7<sup>&#x00AE;</sup> FHIR<sup>&#x00AE;</sup> standard is a new standard aiming to offer more flexible interoperability mechanisms. We present a stand-alone RDF vocabulary as an OWL ontology that defines the primitive and complex data types of the FHIR framework, alongside their validation rules. We address the non-trivial questions of representing FHIR(More)
A flexible, scaleable and cost-effective medical telemetry system is described for monitoring sleep-related disorders in the home environment. The system was designed and built for real-time data acquisition and processing, allowing for additional use in intensive care unit scenarios where rapid medical response is required in case of emergency. It(More)
Adverse Drug Events (ADEs) are currently considered as a major public health issue, resulting in endangering patients&#x02019; safety and significant healthcare costs. The EU-funded project PSIP (Patient Safety through Intelligent Procedures in Medication) aims to develop intelligent mechanisms towards preventing ADEs, aiming to improve the entire(More)
Integrated care of patients with COPD and comorbidities requires the ability to regard patient status as a complex system. It can benefit from technologies that extract multiparametric information and detect changes in status along different axes. This raises the need for generation of systems that can unobtrusively monitor, compute, and combine multiorgan(More)
In this paper, we present an approach for ubiquitous and pervasive access to guidance and decision support services for medication safety targeting patients/citizens and healthcare professionals, respectively. We particularly focus on Adverse Drug Event (ADE) prevention by exploiting a novel decision support framework through mobile technologies. The main(More)
The introduction of smartwatches over the last few years has made widely available a new type of wearable, everyday-usage device that is equipped with dozens of sensors. The sensors embedded in the smartwatch constitute a valuable source of data about the bodily functions of the smartwatch user; a source that has already been exploited for inferring(More)
An integral part of a system that manages medical data is the persistent storage engine. For almost twenty five years Relational Database Management Systems(RDBMS) were considered the obvious decision, yet today new technologies have emerged that require our attention as possible alternatives. Triplestores store information in terms of RDF triples without(More)
PURPOSE To explore new features of the optic nerve head morphology using the Heidelberg retina tomograph (HRT) and to assess their discriminating power between glaucomatous patients and normal subjects. METHODS HRT reports, exported as TIFF images, from 97 normal subjects and 97 primary open-angle glaucoma (POAG) patients were used. For each image the(More)