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AI and sleep tracking may spot nurse burnout before it starts

NCT ID NCT07666633

Knowledge-focused Sponsor: Kaohsiung Armed Forces General Hospital Source: ClinicalTrials.gov ↗

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting This study
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

About 100 people

The number the study aims to enrol. It can still change while the study runs.

Expected to start

Aug 2026

An estimate. Start dates often move.

Expected to finish

Apr 2027

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

The study population consists of newly employed postgraduate nurses during the early clinical transition period at a medical center in Taiwan. Participants will be followed longitudinally to evaluate sleep-related physiological characteristics, psychological stress, burnout risk, and retention risk using repeated questionnaires and non-invasive sleep monitoring.

Ages

20 to 65 years

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Newly employed postgraduate nurses within the first 3 months of clinical practice * Age 20 to 65 years * Full-time clinical nursing staff * Able to read and complete Chinese questionnaires * Willing to participate in repeated psychological assessments and non-invasive sleep monitoring * Able to provide written informed consent Exclusion Criteria: * Diagnosed severe sleep disorders * Diagnosed severe psychiatric disorders * Current use of medications that significantly affect sleep or autonomic nervous system function * Inability to comply with longitudinal follow-up procedures * Inability to complete repeated sleep monitoring assessments

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Conditions

The condition(s) this trial relates to.

Burnout, Psychological Fatigue insomnia occupation-related stress disorder Occupational Stress Parasomnias Psychological Well-Being sleep disorder Stress, Psychological

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Burnout Fatigue Mental health Nurse retention Occupational stress Sleep disturbance

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • Kaohsiung Armed Forces General Hospital

    Kaohsiung City, Kaohsiung City, 80284, Taiwan

More trials for these conditions

Other studies related to the condition(s) this trial covers.