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UBC NURSING ROUNDS
Implementing an AI driven bed sensor in geriatric care
- PRESENTERS: Dr. Lillian Hung & Cromwell Acosta
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 professionals to tailor interventions and improve sleep quality. This study explores the perspectives of an interdisciplinary hospital team on implementing Sleepsense in geriatric hospital care. Using the interpretive description approach, we conducted focus groups with physicians, nurses, care aides, and an activity worker. The Consolidated Framework for Implementation Research (CFIR) informed our thematic analysis to identify barriers and facilitators to implementation. Among 27 healthcare staff, predominantly female (88.89%) and Asian (74.1%) and mostly aged 30–50 years, themes emerged that Sleepsense is perceived as a timesaving and data-driven tool that enhances patient monitoring and assessment. However, barriers such as resistance to change and concerns about trusting the device for patient comfort and safety were noted, while facilitators included training and staff engagement. The CFIR framework proved useful for analyzing implementation barriers and facilitators, suggesting future research should prioritize effective strategies for interdisciplinary team support to enhance innovation adoption and patient outcomes in rehabilitation settings.
BIO: Dr. Lillian Hung is the founder and head of IDEA lab (Innovation in Dementia & Aging). Her research examines how technology and environment impact the care experiences of persons with dementia. She has expertise in patient-oriented research and knowledge translation. She is committed to facilitating connectivity between academia and practice, working collaboratively with interprofessional practitioners to find practical solutions to address pressing problems in care settings.
Date & Time
Wed, February 5, 2025
12:00pm - 1:00pm