Enabling ubiquitous patient monitoring: Model, decision protocols, opportunities and challenges

Healthcare costs in the US are approximately 15% of GNP and are anticipated to reach 17% of GNP in the near future. Management of chronic diseases via technology based ubiquitous patient monitoring services has been widely proposed as a viable option for economizing healthcare resources, and providi...

Full description

Saved in:
Bibliographic Details
Published inDecision Support Systems Vol. 46; no. 3; pp. 606 - 619
Main Authors Sneha, Sweta, Varshney, Upkar
Format Journal Article Conference Proceeding
LanguageEnglish
Published Amsterdam Elsevier B.V 01.02.2009
Elsevier
Elsevier Sequoia S.A
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Healthcare costs in the US are approximately 15% of GNP and are anticipated to reach 17% of GNP in the near future. Management of chronic diseases via technology based ubiquitous patient monitoring services has been widely proposed as a viable option for economizing healthcare resources, and providing efficient, quality healthcare. The process of ubiquitous patient monitoring is information intensive, the information generated is not only fragmented but also spans multiple processes, artifacts, parameters, and decision criteria. The current study explores the complexities associated with the process of ubiquitous patient monitoring and the enabling technologies. The key contribution is a framework that captures the complex processes, the parameters involved, and the decision criteria for ubiquitous patient monitoring. The decision protocols and enabling technologies supporting the processes are detailed in the study along with the opportunities and challenges of ubiquitous patient monitoring. A conceptual model of ubiquitous patient monitoring is developed by leveraging the proposed framework and is validated by a usage scenario. Finally, the implications of future research and contributions of the current research are discussed.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0167-9236
1873-5797
DOI:10.1016/j.dss.2008.11.014