Revealing the Root Causes of Digital Health Data Quality Issues: A Qualitative Investigation of the Odigos Framework

Simple item page
dc.contributor.authorEden, Rebekah
dc.contributor.authorSyed, Rehan
dc.contributor.authorMakasi, Tendai
dc.contributor.authorAndrews, Robert
dc.contributor.authorTer Hofstede, Arthur
dc.contributor.authorWynn, Moe
dc.contributor.authorDonovan, Raelene
dc.contributor.authorEley, Robert
dc.contributor.authorStaib, Andrew
dc.date.accessioned2022-12-27T19:06:26Z
dc.date.available2022-12-27T19:06:26Z
dc.date.issued2023-01-03
dc.description.abstractDigital health data quality is a critical concern in the healthcare industry, jeopardizing the secondary use of data for revolutionizing population health, and hindering patient care and organizational outcomes. Limited published evidence exists for explaining why these data quality issues emerge. The Odigos framework is a notable exception asserting that data quality issues emerge from three worlds: material world (e.g., technology artifact), personal world (e.g., technology users/use), and social world (e.g., organizations/ institutions) but has yet to systematically unpack the elements within these worlds. Through deductive and inductive analysis of interview data from a case study of the Emergency Department of Australia’s first large digital hospital, we apply and extend the Odigos framework by identifying elements emanating from the three worlds and their interrelationships as root causes of data quality issues. These elements can then be used by hospitals to develop strategies to proactively improve their digital health data quality.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2023.372
dc.identifier.isbn978-0-9981331-6-4
dc.identifier.urihttps://hdl.handle.net/10125/103003
dc.language.isoeng
dc.relation.ispartofProceedings of the 56th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectIT Adoption, Diffusion, and Evaluation in Healthcare
dc.subjectcase study.
dc.subjectdata quality
dc.subjectdigital health
dc.subjectodigos framework
dc.subjectroot cause analysis
dc.titleRevealing the Root Causes of Digital Health Data Quality Issues: A Qualitative Investigation of the Odigos Framework
dc.type.dcmitext
prism.startingpage3035

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
0296.pdf
Size:
1.05 MB
Format:
Adobe Portable Document Format
Download

Collections

IT Adoption, Diffusion, and Evaluation in Healthcare