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J Biomed Inform. 2013 Jun;46(3):458-69. doi: 10.1016/j.jbi.2013.03.003. Epub 2013 Mar 15.

An autonomous mobile system for the management of COPD.

Author information

  • 1Institute for Computing and Information Sciences, Radboud University Nijmegen, The Netherlands. m.vanderheijden@cs.ru.nl

Abstract

INTRODUCTION:

Managing chronic disease through automated systems has the potential to both benefit the patient and reduce health-care costs. We have developed and evaluated a disease management system for patients with chronic obstructive pulmonary disease (COPD). Its aim is to predict and detect exacerbations and, through this, help patients self-manage their disease to prevent hospitalisation.

MATERIALS:

The carefully crafted intelligent system consists of a mobile device that is able to collect case-specific, subjective and objective, physiological data, and to alert the patient by a patient-specific interpretation of the data by means of probabilistic reasoning. Collected data are also sent to a central server for inspection by health-care professionals.

METHODS:

We evaluated the probabilistic model using cross-validation and ROC analyses on data from an earlier study and by an independent data set. Furthermore a pilot with actual COPD patients has been conducted to test technical feasibility and to obtain user feedback.

RESULTS:

Model evaluation results show that we can reliably detect exacerbations. Pilot study results suggest that an intervention based on this system could be successful.

PMID:
23500485
DOI:
10.1016/j.jbi.2013.03.003
[PubMed - indexed for MEDLINE]
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