AI and Machine Learning for Detection and Management of Delirium in Care Home Residents.

Abstract

Background: Presently, diagnosing delirium in older people is a challenge. Diagnostic support tools such as the Confusion Assessment Method and 4AT provide structure but require specialist training, resources, and implementation support, while some subjectivity persists in diagnosis. This is particularly the case in people who live with dementia who often experience rapid fluctuation in cognitive abilities and behaviours. This leads to variation in diagnosis between settings and care providers, with consequent harmful impact on those experiencing delirium. These challenges become greater in care homes where dementia is prevalent, daily fluctuation is the norm, and the majority of staff are not trained healthcare professionals.