Implementing AI-Driven Bed Sensors: Perspectives from Interdisciplinary Teams in Geriatric Care

Implementing AI-Driven Bed Sensors: Perspectives from Interdisciplinary Teams in Geriatric Care

Sleep is a crucial aspect of geriatric assessment for hospitalized older adults, and implementing AI-driven technology for sleep monitoring can significantly enhance the rehabilitation process. Sleepsense, an AI-driven sleep-tracking device, provides real-time data and insights, enabling healthcare...

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Bibliographic Details
Main Authors: Cromwell G. Acosta, Yayan Ye, Karen Lok Yi Wong, Yong Zhao, Joanna Lawrence, Michelle Towell, Heather D’Oyley, Marion Mackay-Dunn, Bryan Chow, Lillian Hung
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Sensors
Subjects:
bed sensors
sleep monitoring
implementation science
focus groups
Online Access:https://www.mdpi.com/1424-8220/24/21/6803
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