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Contenido archivado el 2024-06-16

Intelligent Healthcare Monitoring based on a Semantic Interoperability Platform

Descripción del proyecto


Strengthening the integration of the ICT research effort in an enlarged Europe

The SAPHIRE project aims to develop an intelligent healthcare monitoring and decision support system on a platform integrating the wireless medical sensor data with hospital information systems. In the SAPHIRE project, the patient monitoring will be achieved by using agent technology where the "agent behavior" will be supported by intelligent clinical decision support systems which will be based on computerized clinical practice guidelines, and will access the patient medical history stored in medical information systems through semantically enriched Web services to tackle the interoperability problem. In this way, not only the observations received from wireless medical sensors but also the patient medical history will be used in the reasoning process of the clinical decision support system. Furthermore, through a graphical tool to be developed, while modeling the clinical decision processes, it will be possible to exploit the available computer-interpretable guideline models.

The intelligent healthcare monitoring system will be deployed through two pilot applications, one for homecare monitoring of cardiovascular patients in Germany; the other to monitor cardiovascular patients in a hospital in Romania. To subscribe to critical data delivery, clinicians will simply use a Web-based program indicating desired alerts, thresholds, delivery methods (sms/e-mail/Web/pager) or to build a patient coverage list. Once subscribed, clinicians will immediately receive clinical notifications and reminders.

The SAPHIRE project aims to develop an intelligent healthcare monitoring and decision support system on a platform integrating the wireless medical sensor data with hospital information systems. In the SAPHIRE project, the patient monitoring will be achieved by using agent technology where the ¿agent behavior¿ will be supported by intelligent clinical decision support systems which will be based on computerized clinical practice guidelines, and will access the patient medical history stored in medical information systems through semantically enriched Web services to tackle the interoperability problem. In this way, not only the observations received from wireless medical sensors but also the patient medical history will be used in the reasoning process of the clinical decision support system. Furthermore, through a graphical tool to be developed, while modeling the clinical decision processes, it will be possible to exploit the available computer-interpretable guideline models. The intelligent healthcare monitoring system will be deployed through two pilot applications, one for homecare monitoring of cardiovascular patients in Germany; the other to monitor cardiovascular patients in a hospital in Romania. To subscribe to critical data delivery, clinicians will simply use a Web-based program indicating desired alerts, thresholds, delivery methods (sms/e-mail/Web/pager) or to build a patient coverage list. Once subscribed, clinicians will immediately receive clinical notifications and reminders.Creating such an information infrastructure requires safeguards to maintain security and privacy of patient data. The SAPHIRE Project proposes comprehensive security and privacy mechanisms to complement the infrastructure proposed. While providing these confidentiality and privacy mechanisms, the EU directives presenting the general principles of processing of personal data will be taken into account.

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Programa(s)

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FP6-2004-IST-4
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STREP - Specific Targeted Research Project

Coordinador

MIDDLE EAST TECHNICAL UNIVERSITY
Aportación de la UE
€ 494 640,00
Dirección
Inonu Avenue
06531 Ankara
Turquía

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Tipo de actividad
Higher or Secondary Education Establishments
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Participantes (7)

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