Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/1527
Title: Data accuracy considerations with mHealth.
metadata.dc.title.book: Handbook of Research on Healthcare Administration and Management
Epworth Authors: Wickramasinghe, Nilmini
Other Authors: Sako, Zaid
Karpathiou, Vass
Adibi, Sasan
Keywords: mHealth
Information Integrity
Data Integrity
Data Accuracy
Chair of Health Informatics Management, Epworth HealthCare, Victoria, Australia
Issue Date: 2017
Publisher: IGI Global
Abstract: 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.
URI: http://hdl.handle.net/11434/1527
DOI: 10.4018/978-1-5225-0920-2.ch001
ISBN: 9781522509202
Type: Chapter
Affiliated Organisations: Health Informatics
RMIT University, Melbourne, Victoria, Australia
Deakin University, Melbourne, Victoria, Australia
Appears in Collections:Health Informatics

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