Biomedical subjects

Andriana Prentza

Publications and source records attributed to Andriana Prentza.

3 recordsLinked to original sources

PubMed2006

A distributed environment for the integration of multiple high-performance decision support systems into clinical workflow.

Current studies conclude that clinical decision support systems can help reduce serious medical errors. The importance of Causal Probabilistic Networks (CPNs) for constructing such systems is already well-known. However, the computational complexity of probabilistic inference, which results in unacceptably high response times, can hinder acceptance and integration into clinician workflow. This paper investigates the optimization and parallelization potential of complex CPN-based medical decision support systems and evaluates the results of implementing a parallel, high performance version of an existing decision support system concerning proper antibiotic treatment therapy. Furthermore, it discusses distributed computing techniques for making multiple high performance decision support systems available at the time and location of decision making, by exploiting computing resources residing inside, as well as outside the hospital walls optimally.

Algorithms↗

PubMed2006

Communication protocol requirements of patient personal area networks for telemonitoring.

Continuous, remote monitoring of patients' healthcare condition, as this can be reflected by crucial vital signs supervision, is a key demand in modern healthcare provision. Towards the accomplishment of this requirement, the traditional solution of cabled sensors appears to have clear limitations and this is one of the ultimate causes of the proliferation of wireless medical sensor networks during last years. The modern trend towards this direction is the formulation of patient Personal Area Networks (pPANs), consisting of a wireless infrastructure of medical sensors, attached to patient's body, which lays the path for incessant telemonitoring of the person in mind, without discomforting them. The nature of data that these networks are set to handle, as well as the particular demands that patient telemonitoring services raise, necessitate for a thorough analysis of the design requirements of pPAN communication protocols, in order to outflank possible disadvantages appearing in protocols for different types of wireless sensor networks, without putting aside simplicity and feasibility factors. In the context of this paper, we intend to outline the most important requirements and design issues of a pPAN communication protocol, having as compass the main attributes of the most commonly used medical sensors and the typical functionality of these networks.

Computer Communication Networks↗

PubMed2004

Cost-effective health services for interactive continuous monitoring of vital signs parameters--the e-Vital concept.

The objective of the e-Vital project is the validation of the market concerning the provision of a novel remote telemedicine service aimed at large sensitive parts of the European population, the "at-risk" citizens, who are usually patients with a stable medical condition that allow a near normal life but may suddenly deteriorate and put life at risk. This service will increase their quality of life and their feeling of safety concerning their health. The e-Vital project focuses on the implementation and exploitation of a modular and ambulatory secure telemedicine platform, which is using easily wearable vital signs monitoring devices, causing minimal discomfort to patients, and which transfer in real time and on-line critical vital parameters to doctors and/or medical experts/consultants, regardless of their location, while getting feedback to increase their feeling of comfort or in case of alarm. The interactive continuous monitoring promises cost effective health services, more active involvement of patients in their own care, and a new sense of realism in making a diagnosis.

Computer Communication Networks↗