888.338.6148
info@avantas.com
Facebook
Twitter
LinkedIn
Instagram
AvantasAvantas
  • Home
  • About Us
    • Our Leadership
    • Avantas Careers
  • Workforce Management Suite
    • Healthcare Predictive Analytics
    • Healthcare Operational Guidance
    • Healthcare Scheduling Software
    • Accelerated Recovery Solutions
  • Media Resources
    • News Releases & Stories
    • White Papers & Research
    • Avantas Client Stories
    • Healthcare Working Smarter Blog
    • Upcoming Events
  • Contact Us

Using Data Analytics to Help Reduce Nurse Burnout

01/18/2019admin

January 18, 2019 – It’s no secret that the rate of nurse burnout is excessive.

In a field where emotional and physical stress is high, nurses are sometimes considering leaving their jobs within only a few of years of obtaining their license. Factor in the critical nursing shortage the U.S. is enduring, and you have a recipe for intense resource competition between provider organizations.

In response to this shortage, hospitals across the country are offering $10,000 sign-on bonuses, tuition reimbursement, reimbursable relocation costs, and other perks to entice nurses to join their organizations. While these are certainly impressive benefits that can go a long way for a nurse, organizations need to ensure they have workforce practices in place that will continue to benefit nurses once they are in the door.

Strip away the flashy perks and organizations should focus on what workforce processes they can improve to maintain staff satisfaction. Staffing and scheduling is a major cause of frustration for staff. Without the proper tools, scheduling can be a thorn in the side for managers, trying to pin down needs often up until the start of a shift. This typically results in over or understaffing – forcing cancellations and floating, or pushing staffing into extra hours or overtime, which negatively affects morale and leads to nurse burnout.

Click here to keep reading in Becker’s Hospital Review.

Previous post The Journey to Centralized Healthcare Staffing Next post Trusting the Predictive Model is a lot like Trusting an Insulin Pump

Related Articles

Predictive Analytics in Healthcare: Powerful Technology Demands Trust

10/10/2018admin

Staffing Headaches: Two ways hospitals can prepare for flu season

03/05/2014admin

How Predictive Analytics is Reshaping the Approach to Healthcare Staffing

08/25/2017admin

Archives

Tags

ACOs ADVANCE for Nurses American Nurses Association American Nurses Foundation analytics Ballad Health Becker's Hospital Review business intelligence centralized resource management change management CHI Health contingency staff core staff culture Electronic Health Reporter floating FTE leakage Healthcare Finance Healthcare Informatics Healthcare Scheduling Software Health IT Outcomes Health Management Technology HFMA HIMSS Huffington Post incidental worked time Medical Practice Insider MGMA Mountain States Health Alliance Nurse Scheduling Software nursing shortage open shift management overtime Penn State Health predictive analytics predictive modeling Presentations Smart Square staff satisfaction The Staffing Stream training magazine turnover University of Kansas Hospital variable staffing model workforce analytics
  • Site Map
  • Privacy Statement
  • Ad and Cookie Policy
  • Terms of Use
©2020 Avantas, LLC. All rights reserved. | 2121 N 117th Avenue #300 Omaha NE 68164 | 888.338.6148