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Authors: Mahesh Subramanian 1 ; Edward C. Conley 2 ; Omer F. Rana 1 ; Alex Hardisty 1 ; Ali Shaikh 1 ; Stephen Luzio 3 ; David R. Owens 3 ; Steve Wright 4 ; Tim Donovan 4 ; Bharat Bedi 4 ; Dave Conway-Jones 4 ; David Vyvyan 4 ; Gillian Arnold 4 ; Chris Creasey 5 ; Adrian Horgan 5 ; Tristram Cox 5 and Rhys Waite 6

Affiliations: 1 The Welsh e-Science Centre, Cardiff University School of Computer Science, United Kingdom ; 2 The Welsh e-Science Centre, Cardiff University School of Computer Science; Diabetes Research Unit, Cardiff University School of Medicine, United Kingdom ; 3 Diabetes Research Unit, Cardiff University School of Medicine, United Kingdom ; 4 IBM United Kingdom Ltd, United Kingdom ; 5 Smart Holograms, United Kingdom ; 6 Zarlink Semiconductor Ltd, United Kingdom

Keyword(s): Health informatics, home healthcare, biomedical sensor devices, mobility, wearable sensors, decision support system, individualised risk analysis.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Cloud Computing ; Collaboration and e-Services ; Complex Systems Modeling and Simulation ; Data Engineering ; e-Business ; e-Health ; Enterprise Information Systems ; Health Information Systems ; Integration/Interoperability ; Interoperability ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Platforms and Applications ; Sensor Networks ; Simulation and Modeling ; Software Agents and Internet Computing ; Software and Architectures ; Symbolic Systems ; Telemedicine

Abstract: Novel sensor-based continuous biomedical monitoring technologies have a major role in chronic disease management for early detection and prevention of known adverse trends. In the future, a diversity of physiological, biochemical and mechanical sensing principles will be available through sensor device ‘ecosystems’. In anticipation of these sensor-based ecosystems, we have developed Healthcare@Home (HH) - a research-phase generic intervention-outcome monitoring framework. HH incorporates a closed-loop intervention effect analysis engine to evaluate the relevance of measured (sensor) input variables to system-defined outcomes. HH offers real-world sensor type validation by evaluating the degree to which sensor-derived variables are relevant to the predicted outcome. This ‘index of relevance’ is essential where clinical decision support applications depend on sensor inputs. HH can help determine system-integrated cost-utility ratios of bespoke sensor families within defined application s – taking into account critical factors like device robustness / reliability / reproducibility, mobility / interoperability, authentication / security and scalability / usability. Through examples of hardware / software technologies incorporated in the HH end-to-end monitoring system, this paper discusses aspects of novel sensor technology integration for outcome-based risk analysis in diabetes. (More)

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Paper citation in several formats:
Subramanian, M.; C. Conley, E.; F. Rana, O.; Hardisty, A.; Shaikh, A.; Luzio, S.; R. Owens, D.; Wright, S.; Donovan, T.; Bedi, B.; Conway-Jones, D.; Vyvyan, D.; Arnold, G.; Creasey, C.; Horgan, A.; Cox, T. and Waite, R. (2008). NOVEL SENSOR TECHNOLOGY INTEGRATION FOR OUTCOME-BASED RISK ANALYSIS IN DIABETES. In Proceedings of the First International Conference on Health Informatics (BIOSTEC 2008) - Volume 2: HEALTHINF; ISBN 978-989-8111-16-6; ISSN 2184-4305, SciTePress, pages 119-126. DOI: 10.5220/0001041901190126

@conference{healthinf08,
author={Mahesh Subramanian. and Edward {C. Conley}. and Omer {F. Rana}. and Alex Hardisty. and Ali Shaikh. and Stephen Luzio. and David {R. Owens}. and Steve Wright. and Tim Donovan. and Bharat Bedi. and Dave Conway{-}Jones. and David Vyvyan. and Gillian Arnold. and Chris Creasey. and Adrian Horgan. and Tristram Cox. and Rhys Waite.},
title={NOVEL SENSOR TECHNOLOGY INTEGRATION FOR OUTCOME-BASED RISK ANALYSIS IN DIABETES},
booktitle={Proceedings of the First International Conference on Health Informatics (BIOSTEC 2008) - Volume 2: HEALTHINF},
year={2008},
pages={119-126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001041901190126},
isbn={978-989-8111-16-6},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the First International Conference on Health Informatics (BIOSTEC 2008) - Volume 2: HEALTHINF
TI - NOVEL SENSOR TECHNOLOGY INTEGRATION FOR OUTCOME-BASED RISK ANALYSIS IN DIABETES
SN - 978-989-8111-16-6
IS - 2184-4305
AU - Subramanian, M.
AU - C. Conley, E.
AU - F. Rana, O.
AU - Hardisty, A.
AU - Shaikh, A.
AU - Luzio, S.
AU - R. Owens, D.
AU - Wright, S.
AU - Donovan, T.
AU - Bedi, B.
AU - Conway-Jones, D.
AU - Vyvyan, D.
AU - Arnold, G.
AU - Creasey, C.
AU - Horgan, A.
AU - Cox, T.
AU - Waite, R.
PY - 2008
SP - 119
EP - 126
DO - 10.5220/0001041901190126
PB - SciTePress

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