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Original Articles

Medical decision-making inspired from aerospace multisensor data fusion concepts

, , &
Pages 185-197 | Published online: 06 Jan 2014
 

Abstract

In recent years, Internet-delivered treatments have been largely used for pain monitoring, offering healthcare professionals and patients the ability to interact anywhere and at any time. Electronic diaries have been increasingly adopted as the preferred methodology to collect data related to pain intensity and symptoms, replacing traditional pen-and-paper diaries. This article presents a multisensor data fusion methodology based on the capabilities provided by aerospace systems to evaluate the effects of electronic and pen-and-paper diaries on pain. We examined English-language studies of randomized controlled trials that use computerized systems and the Internet to collect data about chronic pain complaints. These studies were obtained from three data sources: BioMed Central, PubMed Central and ScienceDirect from the year 2000 until 30 June 2012. Based on comparisons of the reported pain intensity collected during pre- and post-treatment in both the control and intervention groups, the proposed multisensor data fusion model revealed that the benefits of technology and pen-and-paper are qualitatively equivalent . We conclude that the proposed model is suitable, intelligible, easy to implement, time efficient and resource efficient.

Declaration of interest

The authors report no conflicts of interest.

Author’s contributions

Conception and design: Kouamana Bousson, Nuno Pombo;

Search databases: Nuno Pombo;

Drafting of the article: Nuno Pombo;

Statistical data fusion: Kouamana Bousson;

Analysis and interpretation of the data: Kouamana Bousson, Nuno Pombo, Pedro Araújo;

Critical revision of the article: Joaquim Viana, Kouamana Bousson, Pedro Araújo;

Final clearance of the article: Joaquim Viana, Pedro Araújo.

Notice of Correction:

A previous version of this article was posted online with a different affiliation for Pedro Araújo.

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