Assessing the suitability of smart technology applications for e-health using a judgment-decomposition analytic hierarchy process approach

Toly Chen*, Hsin Chieh Wu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Smart technologies have been extensively applied to e-health. However, whether existing smart technology applications for e-health are sustainable is questionable. To assess the sustainability of a smart technology application for e-health, this study proposes the judgment-decomposition analytic hierarchy process (JD-AHP) approach. In the proposed JD-AHP approach, a decision-maker’s judgment matrix is decomposed into several subjudgment matrices that are more consistent than the judgment matrix and that represent diversified viewpoints for assessing the sustainability of a smart technology application for e-health. Then, the priorities of factors critical to sustainability are derived from the subjudgment matrices by optimizing a mixed-integer nonlinear programming model. The JD-AHP approach was applied to assess the sustainabilities of 10 smart technology applications for e-health. According to the evaluation results, smart clothes had the least sustainability, whereas smart glasses and smart wheelchair had uncertain sustainabilities.

Original languageEnglish
JournalHealth and Technology
DOIs
StateE-pub ahead of print - 6 Feb 2020

Keywords

  • Analytic hierarchy process
  • Consistency
  • e-health
  • Judgment decomposition
  • Smart technology

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