Welcome to the InfoSci Platform
Reference Hub2
Data Accuracy Considerations with mHealth

Data Accuracy Considerations with mHealth

Zaid Zekiria Sako, Vass Karpathiou, Sasan Adibi, Nilmini Wickramasinghe
Copyright: © 2017 |Pages: 15
ISBN13: 9781522509202|ISBN10: 1522509208|EISBN13: 9781522509219
DOI: 10.4018/978-1-5225-0920-2.ch001
Cite Chapter Cite Chapter

MLA

Sako, Zaid Zekiria, et al. "Data Accuracy Considerations with mHealth." Handbook of Research on Healthcare Administration and Management, edited by Nilmini Wickramasinghe, IGI Global, 2017, pp. 1-15. https://doi.org/10.4018/978-1-5225-0920-2.ch001

APA

Sako, Z. Z., Karpathiou, V., Adibi, S., & Wickramasinghe, N. (2017). Data Accuracy Considerations with mHealth. In N. Wickramasinghe (Ed.), Handbook of Research on Healthcare Administration and Management (pp. 1-15). IGI Global. https://doi.org/10.4018/978-1-5225-0920-2.ch001

Chicago

Sako, Zaid Zekiria, et al. "Data Accuracy Considerations with mHealth." In Handbook of Research on Healthcare Administration and Management, edited by Nilmini Wickramasinghe, 1-15. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0920-2.ch001

Export Reference

Mendeley
Favorite

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.