Paper Info
Title
Telehealth Monitoring of Patients in the Community.
Abstract
This article outlines a decision support system that seeks to help community nurses monitor the well-being of their chronically ill patients. It is designed for nurses to stay in contact with their patients without spending unnecessary time on less productive aspects of community nursing, such as avoidable driving to and from patients' houses and taking measurements of vital signs to assess their health condition. It therefore allows the nurse to spend more time on managing the factors that could lead to a healthier patient. The decision support system is developed for two levels of mathematical capability. Nurses with a statistical background are provided with in-depth information allowing them to detect changes in mean, mean square error (and hence variation), and correlations using a variation on dynamic principle components. Less mathematically inclined nurses are offered information about trends, change points, and a simpler multivariate view of a patient's well-being involving parallel coordinate plots.
Year
DOI
Venue
2016
10.1515/jisys-2014-0123
JOURNAL OF INTELLIGENT SYSTEMS
Keywords
DocType
Volume
Surveillance,early detection,false discovery rate,well-being
Journal
25
Issue
ISSN
Citations 
SP1
0334-1860
2
PageRank 
References 
Authors
0.35
2
5
Name
Order
Citations
PageRank
Ross Sparks111416.30
Branko G. Celler250281.99
Chris Okugami320.35
Rajiv Jayasena420.35
Marlien Varnfield521.02