Automating medical imaging rosters: Lessons and challenges from implementation of AI-lead self-rostering with RosterLab
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Authors
Ge, D.
Sitters, Sharon
Sitters, Sharon
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Date
2024
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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
Ge, D. & Sitters, S. (2024, December, 2-5) Automating medical imaging rosters: Lessons and challenges from implementation of AI-lead self-rostering with RosterLab [Paper presentation]. Digital Health Week NZ, Hamilton, New Zealand
https://hdl.handle.net/10652/6903
Abstract
OVERVIEW
Manual to AI-rostering transition
Existing rostering context and challenges
Impacts addressed through RosterLab's tech
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