Paper Info
Title
Novel Sensor Technology Integration For Outcome-Based Risk Analysis In Diabetes
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.
Year
Venue
Keywords
2008
HEALTHINF 2008: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON HEALTH INFORMATICS, VOL 2
health informatics, home healthcare, biomedical sensor devices, mobility, wearable sensors, decision support system, individualised risk analysis
Field
DocType
Citations 
Bespoke,Data mining,Authentication,Interoperability,Risk analysis (business),Computer science,Usability,Robustness (computer science),Clinical decision support system,Scalability
Conference
4
PageRank 
References 
Authors
0.70
6
17
Name
Order
Citations
PageRank
Mahesh Subramanian181.70
Edward C. Conley2213.54
Omer F. Rana32181229.52
Alex R. Hardisty425916.22
Ali Shaikh Ali51109.81
Stephen D. Luzio651.48
David R. Owens762.19
Steve Wright840.70
Tim Donovan961.45
Bharat V. Bedi10151.83
Dave Conway-jones1171.18
David Vyvyan1281.58
Gillian Arnold1340.70
Chris Creasey1440.70
Adrian Horgan1540.70
Tristram Cox1640.70
Rhys Waite1791.52