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How to Grow Your Workforce Through Staff Optimization

被引：1
|
作者：
Schuetz, Gail [1 ]
Larson, Jackie [2 ]
机构：
[1] Univ Kansas Hlth Syst, Inpatient Care, Kansas City Div, Kansas City, KS USA
[2] Avantas, Omaha, NE 68137 USA
来源：
NURSE LEADER | 2019年 / 17卷 / 04期
关键词：
D O I：
10.1016/j.mnl.2019.05.011
中图分类号：
R47 [护理学];
学科分类号：
1011 ;
摘要：
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 for staff weeks in advance. This article suggests how optimizing a health system's workforce with best practice strategies and advanced technology can greatly diminish the staffing challenges being felt in hospitals and health care facilities across the United States.
引用
收藏
页码：344 / 346
页数：3
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