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Data accuracy considerations with mHealth

Sako, Zaid Zekiria, Karpathiou, Vass, Adibi, Sasan and Wickramasinghe, Nilmini 2016, Data accuracy considerations with mHealth. In Wickramasinghe, Nilmini (ed), Handbook of research on healthcare administration and management, IGI Global, Hershey, Pa., pp.1-15, doi: 10.4018/978-1-5225-0920-2.ch001.

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Title Data accuracy considerations with mHealth
Author(s) Sako, Zaid Zekiria
Karpathiou, Vass
Adibi, Sasan
Wickramasinghe, Nilmini
Title of book Handbook of research on healthcare administration and management
Editor(s) Wickramasinghe, Nilmini
Publication date 2016
Chapter number 1
Total chapters 40
Start page 1
End page 15
Total pages 15
Publisher IGI Global
Place of Publication Hershey, Pa.
Summary With the plethora of mHealth solutions developed being digital, this necessitates the need for accurate data and information integrity. Lack of data accuracy and information integrity in mHealth can cause serious harm to patients and limit the benefits of such promising technology. Thus, this exploratory study investigates data accuracy and information integrity in mHealth by examining a mobile health solution for diabetes, with the aim of incorporating Machine Learning to detect sources of inaccurate data and deliver quality information.
ISBN 1522509208
Language eng
DOI 10.4018/978-1-5225-0920-2.ch001
Field of Research 080702 Health Informatics
100504 Data Communications
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category B1 Book chapter
ERA Research output type B Book chapter
Copyright notice ©2014, IGI Global
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Document type: Book Chapter
Collection: School of Information Technology
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