Qualitative interviews analyzed via Activity Theory identify clinical data as boundary objects and collaborators as knowledge brokers that address knowledge gaps in early-stage clinical AI for telehealth.
In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
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Bridging Knowledge Gaps in Clinical AI: An Activity Theory Perspective on Interdisciplinary Data Work for Telehealth
Qualitative interviews analyzed via Activity Theory identify clinical data as boundary objects and collaborators as knowledge brokers that address knowledge gaps in early-stage clinical AI for telehealth.