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Automated Emails to Improve Evening Staffing for Anesthesiologists.
Amy C Robertson1, Yaping Shi2, Matthew S Shotwell2
1Department of Anesthesiology, Vanderbilt University Medical Center, The Vanderbilt Clinic, 1301 Medical Center Dr, 4648, 37232-5614, Nashville, TN, USA. Amy.robertson@vumc.org.
Automated email reminders successfully increased anesthesiologist participation in voluntary relief shifts, improving end-of-day scheduling predictability and addressing physician burnout.
Area of Science:
- Medical Anesthesiology
- Healthcare Management
- Workforce Optimization
Background:
- Physician burnout is a significant concern, often linked to unpredictable work schedules.
- Strategies to improve scheduling predictability, such as voluntary relief shifts, aim to enhance work-life balance for anesthesiologists.
Purpose of the Study:
- To evaluate the effectiveness of an automated email reminder system in increasing participation in voluntary evening relief shifts.
- To determine if automation can improve the filling of relief shifts and expand the pool of participating anesthesiologists.
Main Methods:
- An automated email reminder system was implemented to notify anesthesiologists without assignments about unfilled relief shifts when high case volumes were anticipated.
- The system selectively sent reminders one day in advance to eligible anesthesiologists.
Main Results:
- The median number of providers working relief shifts increased from 1.75 to 2.6 per day after implementing the automated reminders.
- A total of 22 unique anesthesiologists participated in the program post-intervention.
- While the weekly average number of volunteers initially increased, it stabilized at a level higher than pre-intervention.
Conclusions:
- Automated email reminders are an effective tool for increasing anesthesiologist engagement in voluntary relief shift programs.
- Leveraging automation to match staffing needs with anticipated case volume enhances recruitment of relief personnel.
- This strategy contributes to improved end-of-day predictability and better work-life balance in anesthesiology departments.
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