How to Grow Your Workforce Through Staff Optimization
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作者:
Schuetz, Gail
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Univ Kansas Hlth Syst, Inpatient Care, Kansas City Div, Kansas City, KS USAUniv Kansas Hlth Syst, Inpatient Care, Kansas City Div, Kansas City, KS USA
Schuetz, Gail
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Larson, Jackie
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Avantas, Omaha, NE 68137 USAUniv Kansas Hlth Syst, Inpatient Care, Kansas City Div, Kansas City, KS USA
Larson, Jackie
[2
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机构:
[1] Univ Kansas Hlth Syst, Inpatient Care, Kansas City Div, Kansas City, KS USA
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.