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A Participatory Artificial Intelligence Driven Shift-Scheduling Application for Improving Sleep Among Shift-Working

Tomohide Kubo1, Shun Matsumoto1, Yuki Nishimura1

  • 1Research Center for Overwork-Related Disorders, National Institute of Occupational Safety and Health, Kawasaki, Japan.

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Summary

An AI-driven shift-scheduling app improved sleep quality for geriatric caregivers by optimizing schedules. The artificial intelligence (AI) application enhanced deep and REM sleep phases compared to manual scheduling.

Keywords:
artificial intelligencecaregiveroccupational‐fatigue counselling approachshift workwearable deviceworktime control

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Area of Science:

  • Occupational Health
  • Sleep Medicine
  • Artificial Intelligence

Background:

  • Shift work, particularly in geriatric care, often leads to poor sleep quality.
  • Optimizing shift schedules is crucial for mitigating fatigue and improving well-being.

Purpose of the Study:

  • To evaluate the effectiveness of a participatory artificial intelligence (AI)-driven mobile application for shift scheduling.
  • To assess the impact of the AI application on the sleep quality of shift-working geriatric caregivers.

Main Methods:

  • A 4-month cross-over study involving 35 geriatric caregivers.
  • Comparison of AI-generated schedules versus manually created schedules.
  • Sleep phases monitored using a ring-type sleep tracker and analyzed with multilevel models.

Main Results:

  • The AI-driven schedule significantly improved deep sleep (N3) and rapid eye movement (REM) sleep.
  • Backward rotating shifts and consecutive late shifts were found to significantly worsen sleep quality.
  • While AI reduced backward rotations, enhanced employee control over working time also contributed to positive outcomes.

Conclusions:

  • Participatory AI-driven shift scheduling can enhance sleep quality in shift-working caregivers.
  • Addressing specific scheduling needs like avoiding backward rotations is key.
  • The AI application offers a promising tool for improving occupational health in shift-based professions.