Data Accuracy Considerations with mHealth

Author:

Sako Zaid Zekiria1,Karpathiou Vass2,Adibi Sasan1,Wickramasinghe Nilmini3ORCID

Affiliation:

1. Deakin University, Australia

2. RMIT, Australia

3. Epworth HealthCare, Australia & Deakin University, Australia

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.

Publisher

IGI Global

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