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Contenuto archiviato il 2024-05-21

Telematic Support for Patient Focused Distant Care

Obiettivo

The TelemediCare system will improve the quality of home-based care and medical treatment, through the development of a new generation of open platform telemedicine solutions. The project will introduce Medical Net Instruments, which implies that patients will receive 24-hour real-time medical monitoring in their own home. Advanced and reliable sensors on the body will supply high quality medical data. These data are sent to the patient's computer through wireless communication. The computer will analyse and store the data. Intelligent software will trigger medical supervision, treatment or care by establishing two-way communication over the Internet with remote, "arrive-on-call" treatment/care providers. The system's functionality is based on profound knowledge and understanding of the health care system throughout Europe. Development and demonstration is done in close co-operation with experienced telemedicine users in Sweden, Norway and Greece.

Work description:
The TelemediCare project involves several areas of research and development in the field of telemedicine: Four, miniaturised, non-intrusive medical sensors on the patient's body will provide high quality real-time data on ECG, blood pressure, oxymetry and temperature. All (or some) of these parameters are of relevance to the monitoring of several medical conditions. The technological platform for these sensors will be open for later development of a wider range/family of medical sensors. Reliable wireless communication between sensors and the Local Patient Computer. This improves well-being and mobility of monitored patients. The Local Patient Computer (LPC) will be the bridge between each patient and the surrounding treatment and care infrastructure. The computer will store high-resolution data in a Local Patient Record. Software services enable integration of binary objects, such as raw/analysed data, images etc., into the remote health care information system. The LPC will comprise an artificial intelligence that is able to trigger services from the treatment/care infrastructure on the basis of the evaluation of single or multiple elements in the patient's medical status. The project will develop a secure web-based interface between the LPC and the monitoring treatment/care providing infrastructure. This will also allow for seamless integration with existing Hospital Information Systems. The functionality of each component - as well as the entire system - will be developed, tested, validated and evaluated in realistic settings and in close co-operation with treatment and care providers with long experience from telemedicine. Medical experts and practitioners from Karolinska Hospital and municipal health care providers in rural areas of Norway and Greece will take part in establishing the functional and non-functional requirements for both single components and the entire system. The TelemediCare system will have an open technological platform.

Milestones:
Key milestones/results of the project are:
Month 13: Early demonstrator; New sensors allowing to employ two modalities as input for algorithms concentrated in the Local Patient Computer.
Month 26: Full-scale demonstrator - Employment of four modalities to produce verified artificial intelligence conclusions.
Month 30: Complete demonstrator, documented results of the project including Medical Verification Database.
The main result of this 1-year assessment is, as planned, the prototype of a state-of-the-art tool for the analysis of protocols for e-commerce and other security-sensitive IT-applications. The project results demonstrate the success of the assessment phase: our prototype tool is better than all other existing analysis tools worldwide, in that it has either better coverage or better performance, or both. In particular, our prototype tool can detect many subtle attacks (e.g. based on typing ambiguities) that are missed by most other tools. The AVISS project thus lays the foundations of a new generation of analysis tools for automatic error detection for e-commerce and related security protocols. This paves the way to turning the prototype we have developed into a mature technology, whose application and transfer into the industrial sector will be ascertained in a follow-up, full project with industry involvement.

Campo scientifico (EuroSciVoc)

CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP. Cfr.: Il Vocabolario Scientifico Europeo.

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Coordinatore

SINTEF - STIFTELSEN FOR INDUSTRIELL OG TEKNISK FORSKNING VED NORGES TEKNISKE HOEGSKOLE
Contributo UE
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Indirizzo
STRINDVEIEN 4
7034 TRONDHEIM
Norvegia

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Partecipanti (6)

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