Bridging the artificial Intelligence gap in radiography
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Authors
Sitters, Sharon
O'Callahan, Kait
O'Callahan, Kait
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Date
2024-12-03
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Type
Conference Contribution - Oral Presentation
Ngā Upoko Tukutuku (Māori subject headings)
Keyword
New Zealand
MRI technologists
self-rostering
rosters
shift systems
artificial intelligence (AI)
well being
MRI technologists
self-rostering
rosters
shift systems
artificial intelligence (AI)
well being
ANZSRC Field of Research Code (2020)
Citation
Sitters, S. & O'Callahan, K. (2024, December 3) Bridging the artificial Intelligence gap in radiography [Paper presentation]. 2024 Nursing & Medical Imaging Annual Healthcare Non-Conference Conference, Waitakere, New Zealand
https://hdl.handle.net/10652/6899
Abstract
OUR PROJECT
Two medical imaging departments transitioned from a rotating shift (cyclic) roster to an AI-generated self-rostering system. The automated system allowed staff to preference shifts. We studied the impact of this change on each department.
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