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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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