Telehealth Monitoring of Patients in the Community

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 av...

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Bibliographic Details
Published in:Journal of intelligent systems 2016-01, Vol.25 (1), p.37-53
Main Authors: Sparks, Ross, Celler, Branko, Okugami, Chris, Jayasena, Rajiv, Varnfield, Marlien
Format: Article
Language:English
Subjects:
Automation
Blood pressure
Chronic illnesses
Chronic obstructive pulmonary disease
Community health care
Decision support systems
Disease
early detection
Electronic monitoring
false discovery rate
Hospitals
Industrial research
Intelligent systems
Nurses
Patient admissions
Studies
Surveillance
Telemedicine
Visiting nurses
Vital signs
well-being
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Summary: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.
ISSN:0334-1860
2191-026X
DOI:10.1515/jisys-2014-0123