Abstract
Many factors contribute to the complexity of planning for and having enough nursing staff; however, antiquated planning strategies are a major issue. The purpose of this study was to develop a predictive staffing simulation model. The model included integrating staffing needs (actual patient census, care delivery model, and budget) and staffing availability (filled positions, flex staffing, and absences) factors that influence effective and efficient staffing plans using the staffing prediction and simulation analysis tool. A predictive staffing simulation model provides the ability for nursing leaders to proactively predict nursing resources in establishing effective and efficient staffing models that support an optimal patient care delivery system.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 161-169 |
| Number of pages | 9 |
| Journal | Nursing Economics |
| Volume | 35 |
| Issue number | 4 |
| State | Published - Jul 1 2017 |
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All Science Journal Classification (ASJC) codes
- Leadership and Management
Cite this
Predictive staffing simulation model methodology. / Johnson-Carlson, Pamela; Costanzo, Cindy; Kopetsky, David.
In: Nursing Economics, Vol. 35, No. 4, 01.07.2017, p. 161-169.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Predictive staffing simulation model methodology
AU - Johnson-Carlson, Pamela
AU - Costanzo, Cindy
AU - Kopetsky, David
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Many factors contribute to the complexity of planning for and having enough nursing staff; however, antiquated planning strategies are a major issue. The purpose of this study was to develop a predictive staffing simulation model. The model included integrating staffing needs (actual patient census, care delivery model, and budget) and staffing availability (filled positions, flex staffing, and absences) factors that influence effective and efficient staffing plans using the staffing prediction and simulation analysis tool. A predictive staffing simulation model provides the ability for nursing leaders to proactively predict nursing resources in establishing effective and efficient staffing models that support an optimal patient care delivery system.
AB - Many factors contribute to the complexity of planning for and having enough nursing staff; however, antiquated planning strategies are a major issue. The purpose of this study was to develop a predictive staffing simulation model. The model included integrating staffing needs (actual patient census, care delivery model, and budget) and staffing availability (filled positions, flex staffing, and absences) factors that influence effective and efficient staffing plans using the staffing prediction and simulation analysis tool. A predictive staffing simulation model provides the ability for nursing leaders to proactively predict nursing resources in establishing effective and efficient staffing models that support an optimal patient care delivery system.
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M3 - Article
VL - 35
SP - 161
EP - 169
JO - Nursing Economics
JF - Nursing Economics
SN - 0746-1739
IS - 4
ER -