A Participatory Artificial Intelligence Driven Shift-Scheduling Application for Improving Sleep Among Shift-Working Caregivers: A 4-Month Non-Randomised Controlled Study With Cross-Over Design.

ABSTRACT: Here, we examine the effectiveness of a participatory artificial intelligence (AI)-driven shift-scheduling mobile application (which reflects the local improvement needs in shift scheduling) in improving the sleep quality of shift-working geriatric caregivers. Thirty-five shift-working geriatric caregivers participated in this 4-month cross-over interventional study. Half of the participants in the first 2 months followed the intervention schedule created by the AI-driven shift-scheduling mobile application, while the remaining participants followed the manually created control schedule. The improvement needs in shift scheduling, derived from occupational-fatigue counselling, were as follows: avoiding backward rotating shifts, reducing consecutive shifts, extending shift intervals and ensu

SUBMITTER: Kubo T 

PROVIDER: S-EPMC12856135 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature