Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/1539
Title: Reliability of qualitative data using text analysis: a Queensland Health case study.
metadata.dc.title.book: Contemporary Consumer Health Informatics
Authors: Wickramasinghe, Nilmini
Editors: Wickramasinghe, Nilmini
Troshani, I.
Tan, J.
Other Authors: Gururajan, Raj
Clark, K.
Moller, S.
Sankaran, P.
Baig, H.
Keywords: Qualitative Data Analysis
Text Analytics
Cohort Analytics
Qualitative Data
Chair of Health Informatics Management, Epworth HealthCare, Victoria, Australia
Issue Date: 2016
Publisher: Springer International Publishing
Abstract: The chapter reports how reliability can be assured in qualitative data using text analytics principles, and it demonstrates this using a cohort analytics process, which used text mining on the data collected from 64 interviews conducted in Queensland Health wards. While the focus of the interviews was on implementing a technology, the text analysis was conducted to assure that the themes were exactly the focus of the study. Furthermore, the analytics helped to represent a visual view of the data, to imply the reliability of themes. We conducted the analytics to provide additional reliability than standard saturation, which is normally employed in a qualitative data analysis.
URI: http://hdl.handle.net/11434/1539
DOI: doi.org/10.1007/978-3-319-25973-4_1
ISBN: 9783319259734
Type: Chapter
Affiliated Organisations: Health Informatics
Appears in Collections:Health Informatics

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