Using wearable technology to predict burnout in nurses
Official title: SCH: Wearable Augmented Prediction of Burnout in Nurses: A Synergy of Engineering, Bioethics, Nursing
Funded at Mayo Clinic Rochester · NIH-11018629 · Data updated 2026-11-12
This study is working on a smart technology that helps spot early signs of burnout in nurses so they can take care of themselves and continue providing great care to their patients.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Mayo Clinic Rochester NIH-funded |
| Lab location | 1 site (Rochester, United States) |
| Project start | April 11, 2022 |
| Project end | January 31, 2026 |
| Funding year | 2025 |
| Award (this year) | $299,998 |
| NIH project number | 5R01NR020362-04 |
| Project ID | NIH-11018629 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are registered nurses working in hospital settings who may be at risk of burnout due to high work demands.
✕Less likely to help
Patients who are not nurses or those not working in high-stress healthcare environments may not benefit from this research.
What this research studies
This research aims to develop a data-driven technology that can predict burnout in registered nurses before it negatively impacts their health and work performance. By leveraging wearable devices and analyzing various data points, the project seeks to identify early signs of burnout, which is often overlooked until it leads to serious consequences. The approach combines engineering, bioethics, and nursing practices to create a comprehensive solution that addresses the increasing demands placed on healthcare workers. The ultimate goal is to improve the well-being of nurses and the quality of care they provide to patients.
Why it matters
Potential benefit: If successful, this research could lead to early interventions that prevent burnout in nurses, ultimately enhancing patient care and safety.
How similar studies have gone: Other research has shown promise in using technology to monitor and predict burnout, indicating that this approach could be effective.
Where this research is happening
-
Mayo Clinic Rochester
Rochester, United States Active
Researchers
- Principal investigator: Athreya, Arjun Prasanna — Mayo Clinic Rochester
- Study coordinator: Athreya, Arjun Prasanna
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.