AIMC Topic: Long-Term Care
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Integrating Artificial Intelligence and Wearable IoT System in Long-Term Care Environments.
Sensors (Basel, Switzerland)
Jun 26, 2023
With the rapid advancement of information and communication technology (ICT), big data, and artificial intelligence (AI), intelligent healthcare systems have emerged, including the integration of healthcare systems with capital, the introduction of h...
A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study.
Journal of medical Internet research
Apr 6, 2023
BACKGROUND: Numerous studies have identified risk factors for physical restraint (PR) use in older adults in long-term care facilities. Nevertheless, there is a lack of predictive tools to identify high-risk individuals.
Long-term care insurance purchase decisions of registered nurses: Deep learning versus logistic regression models.
Health policy (Amsterdam, Netherlands)
Jan 18, 2023
OBJECTIVE: The purpose of this study was to use a deep learning model and a traditional statistical regression model to predict the long-term care insurance decisions of registered nurses.
Strategies to Implement Pet Robots in Long-Term Care Facilities for Dementia Care: A Modified Delphi Study.
Journal of the American Medical Directors Association
Nov 1, 2022
OBJECTIVES: Pet robots are technology-based substitutes for live animals that have demonstrated psychosocial benefits for people living with dementia in long-term care. However, little research has been conducted to understand how pet robots should b...
Text mining in long-term care: Exploring the usefulness of artificial intelligence in a nursing home setting.
PloS one
Aug 25, 2022
OBJECTIVES: In nursing homes, narrative data are collected to evaluate quality of care as perceived by residents or their family members. This results in a large amount of textual data. However, as the volume of data increases, it becomes beyond the ...
The adoption of socially assistive robots for long-term care: During COVID-19 and in a post-pandemic society.
Healthcare management forum
Jun 17, 2022
The rapid spread of COVID-19 has prompted a surge in the adoption of technology, highlighting a number of potential applications for Socially Assistive Robots (SARs). Our entire healthcare system has been under unprecedented strain, and going forward...
Promoting activity in long-term care facilities with the social robot Pepper: a pilot study.
Informatics for health & social care
Jun 14, 2022
About 40 000 individuals depend on assisted living in long-term care facilities in Norway. Around 80% of these have a cognitive impairment or suffer from dementia. This actualizes the need for activities that are tailored to individual needs. For som...
Developing Acute Event Risk Profiles for Older Adults with Dementia in Long-Term Care Using Motor Behavior Clusters Derived from Deep Learning.
Journal of the American Medical Directors Association
May 17, 2022
OBJECTIVES: This paper uses deep (machine) learning techniques to develop and test how motor behaviors, derived from location and movement sensor tracking data, may be associated with falls, delirium, and urinary tract infections (UTIs) in long-term ...
Automated food intake tracking requires depth-refined semantic segmentation to rectify visual-volume discordance in long-term care homes.
Scientific reports
Jan 7, 2022
Malnutrition is a multidomain problem affecting 54% of older adults in long-term care (LTC). Monitoring nutritional intake in LTC is laborious and subjective, limiting clinical inference capabilities. Recent advances in automatic image-based food est...
The importance of developing care-worker-centered robotic aides in long-term care.
Bioethics
Oct 20, 2021
Recent research points to the fact that new medical technological innovations are just as relevant in the context of long-term care or chronic care as they are in the context of acute care. In the spirit of the Nuffield Foundation recommendations, th...
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