AI and sleep tracking may spot nurse burnout before it starts
NCT ID NCT07666633
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study follows 100 new nurses over time, using non-invasive sleep monitors and questionnaires to track sleep quality, stress, and burnout. Researchers will use AI to see if sleep data can predict which nurses are at risk of burnout or leaving their jobs. No treatments are given—the goal is to build a prediction tool for future use.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to a tool that helps hospitals identify nurses at risk of burnout early, potentially improving staff well-being and patient care.
- What could go wrong
- This is an early observational study with only 100 participants. The AI model may not work as expected or may not apply to other hospitals or countries.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Kaohsiung Armed Forces General Hospital
Kaohsiung City, Kaohsiung City, 80284, Taiwan
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