EconPapers    
Economics at your fingertips  
 

Early Bayesian modeling of a potassium lab-on-a-chip for monitoring of heart failure patients at increased risk of hyperkalaemia

Gijs van de Wetering, Lotte M.G. Steuten, Clemens von Birgelen, Eddy M.M. Adang and Maarten J. IJzerman

Technological Forecasting and Social Change, 2012, vol. 79, issue 7, 1268-1279

Abstract: Innovative point-of-care (POC) diagnostics are likely to have a strong impact on health care. The aim of this study is to conduct an early assessment of a point-of-care chip for the detection of a pathological deviation of the potassium levels in patients at increased risk, specifically in patients with heart failure (HF) requiring diuretics and ACE inhibitors that can both interfere with potassium levels, which may lead to serious clinical complications. This study also identifies the key factors that determine the success of the application under study.

Keywords: Heart failure; Point-of-care testing; Lab-on-a-chip; Early healthcare technology assessment; Cost-effectiveness; Probabilistic sensitivity analysis (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162512000418
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:79:y:2012:i:7:p:1268-1279

DOI: 10.1016/j.techfore.2012.02.004

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:tefoso:v:79:y:2012:i:7:p:1268-1279