Tech Reports
Tech Report kmi-04-21 Abstract
Healthcare Compunetics: An End-to-End Architecture for Self-Care Service Provision
Techreport ID: kmi-04-21
Date: 2004
Author(s): Andy Marsh, George Roussos and Yanna Vogiazou
Extending healthcare to the community introduces a number of new challenges for the development of information technology infrastructures. A core component of the new self-care infrastructures will be wearable or implantable sensors and actuators that monitor vital signs and take proactive actions to respond to observed clinical conditions. In this paper, we introduce the three core elements of the Healthcare Compunetics architecture developed with a view to support the new self-care services: i-notes is a system that extends the electronic patient record to include non-verified data collection by the sensors; i-WAND is a wearable device that offers pluggable body area connectivity, local storage and processing and remote communication to the diagnostic service centre; and the VMW Protocol which allows sensors to communicate effectively with remote healthcare servers. Finally, we conclude this discussion with a brief overview of our current work on interaction design.
Publication(s):
Appeared in: The Body Sensor Networks Workshop, Imperial College, London, UK, 6-7 April 2004
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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