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Data accuracy considerations with mHealth

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posted on 2016-08-23, 00:00 authored by Zaid Sako, V Karpathiou, Sasan AdibiSasan Adibi, Nilmini Wickramasinghe
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.

History

Title of book

Handbook of research on healthcare administration and management

Chapter number

1

Pagination

1 - 15

Publisher

IGI Global

Place of publication

Hershey, Pa.

ISBN-13

9781522509219

ISBN-10

1522509208

Language

eng

Publication classification

B Book chapter; B1 Book chapter

Copyright notice

2014, IGI Global

Extent

40

Editor/Contributor(s)

N Wickramasinghe

Usage metrics

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    Keywords

    Exports