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Tag: University of Kansas Hospital

Home Posts Tagged "University of Kansas Hospital"

How to Grow Your Workforce Through Staff Optimization

07/26/2019admin

July 26, 2019 – Recent statistics reveal that the demand for registered nurses continues to grow. The time to address nurse staffing concerns is now. Data analytics in nurse staffing and scheduling is a beneficial, yet largely overlooked, area. Incorporating modern modeling techniques and machine learning methodologies to forecast staffing needs, predictive analytics identifies demand…

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Scheduling with Predictive Analytics and Automation

12/06/2017admin

December 6, 2017 – This article from Jeff Lagasse, Associate Editor at Healthcare Finance, discusses how predictive analytics are used to forecast staffing need up to 120 days in advance of the shift. Click here to read the article in Healthcare Finance

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Predictive Analytics Delivers Time Back to Managers to Focus on Patient Care

08/16/2017admin

August 16, 2017 – In this article, Gail Schuetz from the University of Kansas Hospital and Jackie Larson discuss the results of a time savings study conducted two years following the implementation of Smart Square scheduling software and predictive analytics. Click here to read the article in Becker’s Hospital Review.

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Operations at One Hospital Mends the Workforce as Well as Patients

06/13/2017admin

June 13, 2017 – Jackie Larson and Gail Schuetz from the University of Kansas Hospital discuss the fact that while organizational policies and practices maybe are not the most gripping topics, they are vitally important for standardization, realizing predictable and sustainable outcomes, and promoting fairness through their uniform application. Click here to read the article in Workforce…

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5 Characteristics of an Effective Open Shift Management Strategy

10/03/2016admin

October 3, 2016 – Filling open shifts can be a hectic, emotional, and financially challenging process for provider organizations. The practice of doing so can vary by department, as can the incentives offered for picking up open shifts. The result can be a chaotic, inefficient, and last-minute process that pits units against one another to compete for…

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