NOVEL SENSOR TECHNOLOGY INTEGRATION FOR OUTCOME-BASED RISK ANALYSIS IN DIABETES

Mahesh Subramanian, Edward C. Conley, Omer F. Rana, Alex Hardisty, Ali Shaikh, Stephen Luzio, David R. Owens, Steve Wright, Tim Donovan, Bharat Bedi, Dave Conway-Jones, David Vyvyan, Gillian Arnold, Chris Creasey, Adrian Horgan, Tristram Cox, Rhys Waite

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 applications – 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.

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Paper Citation


in Harvard Style

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 - Volume 2: HEALTHINF, (BIOSTEC 2008) ISBN 978-989-8111-16-6, pages 119-126. DOI: 10.5220/0001041901190126


in Bibtex Style

@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 - Volume 2: HEALTHINF, (BIOSTEC 2008)},
year={2008},
pages={119-126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001041901190126},
isbn={978-989-8111-16-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Health Informatics - Volume 2: HEALTHINF, (BIOSTEC 2008)
TI - NOVEL SENSOR TECHNOLOGY INTEGRATION FOR OUTCOME-BASED RISK ANALYSIS IN DIABETES
SN - 978-989-8111-16-6
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