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

Author

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

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.

Suggested Citation

  • van de Wetering, Gijs & Steuten, Lotte M.G. & von Birgelen, Clemens & Adang, Eddy M.M. & IJzerman, Maarten J., 2012. "Early Bayesian modeling of a potassium lab-on-a-chip for monitoring of heart failure patients at increased risk of hyperkalaemia," Technological Forecasting and Social Change, Elsevier, vol. 79(7), pages 1268-1279.
    • Handle: RePEc:eee:tefoso:v:79:y:2012:i:7:p:1268-1279
    DOI: 10.1016/j.techfore.2012.02.004
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    Cited by:

    1. Fasterholdt, Iben & Krahn, Murray & Kidholm, Kristian & Yderstræde, Knud Bonnet & Pedersen, Kjeld Møller, 2017. "Review of early assessment models of innovative medical technologies," Health Policy, Elsevier, vol. 121(8), pages 870-879.
    2. Esther A. Boudewijns & Thomas M. Otten & Mariam Gobianidze & Bram L. Ramaekers & Onno C. P. Schayck & Manuela A. Joore, 2023. "Headroom Analysis for Early Economic Evaluation: A Systematic Review," Applied Health Economics and Health Policy, Springer, vol. 21(2), pages 195-204, March.

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