ResQ Wellness

Use the ResQ Wellness Score™ To Monitor And Identify Burnout Before It Happens

ResQ Wellness Score™

Monitor Resident and Program Wellness Automatically.

The ResQ Wellness Score™ is a proprietary algorithm estimating the level of resident burnout due to accumulated work hours, shift duration, and the duration of breaks between shifts. This data is collected and analyzed automatically by the ResQ system. 

The score correlates to the potential level of burnout on a weekly basis. If the number is high (near 100), it means the resident is less likely to be at the burn out stage. If low (near 20), there is a higher likelihood of burn out. This proprietary estimate is provided to residents in an effort to help maintain a healthy work-life balance by identifying causes of burnout, before it happens. 

The score can be produced for residents over any period of time (week, month, year) as a tool to objectively estimate the overall health and well-being of a Program or Institution.

 

ResQ Wellness Score™

Monitor Resident and Program Wellness Automatically.

The ResQ Wellness Score™ is a proprietary algorithm estimating the level of resident burnout due to accumulated work hours, shift duration, and the duration of breaks between shifts. This data is collected and analyzed automatically by the ResQ system. 

The score correlates to the potential level of burnout on a weekly basis. If the number is high (near 100), it means the resident is less likely to be at the burn out stage. If low (near 20), there is a higher likelihood of burn out. This proprietary estimate is provided to residents in an effort to help maintain a healthy work-life balance by identifying causes of burnout, before it happens. 

The score can be produced for residents over any period of time (week, month, year) as a tool to objectively estimate the overall health and well-being of a Program or Institution.

Resident Wellness Score™

Monitor Resident and Program Wellness Automatically.

The ResQ Wellness Score™ is a proprietary algorithm estimating the level of resident burnout due to accumulated work hours, shift duration, and the duration of breaks between shifts. This data is collected and analyzed automatically by the ResQ system. 

The score correlates to the potential level of burnout on a weekly basis. If the number is high (near 100), it means the resident is less likely to be at the burn out stage. If low (near 20), there is a higher likelihood of burn out. This proprietary estimate is provided to residents in an effort to help maintain a healthy work-life balance by identifying causes of burnout, before it happens. 

The score can be produced for residents over any period of time (week, month, year) as a tool to objectively estimate the overall health and well-being of a Program or Institution.

 

Total Hours

Total Shifts

Longest Shift

Shortest Break Between Shifts

Average Shift

Average Break Between Shifts

  • Your ResQ Wellness Score™

Resident Well-Being

Program Health

Institutional Success

In the news

ResQ Launches Wellness Score™ To Monitor Burnout

Oct 2, 2018

ResQ Launches Wellness Score™ To Monitor Burnout The ResQ Wellness Score™ is designed to monitor resident burnout by accessing conditions of their personal health. Statistics show that burnout is the most prevalent issue facing current physicians. A 2018 Forbes...

ResQ Medical Partners With Kaiser Permanente, Northern California

Jul 6, 2018

ResQ Medical is proud to partner with Kaiser Permanente, Northern California to deploy its location automation platform which automatically records work hours for residents. Kaiser Permanente joins a growing list of teaching institutions that have selected ResQ...

Preserving Privacy: The Core of the ResQ Algorithm

Apr 14, 2018

Is ResQ Tracking Me? Is ResQ Tracking Me? That is a question we get a lot from first time users of the ResQ app. Already working long hours and odd shifts, some trainees respond defensively to the idea of installing an app that automatically records their time in the...

Learn More About ResQ Wellness