Development and Implementation of a Forecasting Model for Inpatient Nurse Scheduling.
Basic staffing and scheduling methods of the past are not meeting the complex demands of the nurse scheduling problem (NSP). The overall goal of this study was to develop and implement a nurse scheduling forecasting model for a 33- bed inpatient nursing unit to address the challenges of the NSP duri...
| Publicado en: | Nursing Economic$ Vol. 37; no. 3; pp. 144 - 152 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Jannetti Publications, Inc.
May/Jun2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=137025786&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 137025786 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 07461739 22R jtl: Nursing Economic$ issn: 07461739 maglogo: N pubinfo: dt: May/Jun2019 vid: 37 iid: 3 pid: 4135 pub: Jannetti Publications, Inc. place: Pitman, New Jersey artinfo: ui: 137025786 137025786 137025786 137025786 ppf: 144 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Development and Implementation of a Forecasting Model for Inpatient Nurse Scheduling. aug: au: Bowie, Danielle Fischer, Rachel Holland, Margaret L. affil: Vice President, Nursing Workforce Development, Bon Secours Mercy Health, Cincinnati, OH sug: subj: Forecasting Models, Statistical Nursing Staff, Hospital Personnel Staffing and Scheduling Nursing Units Program Development Human Specialties, Surgical Hospitals, Urban Inpatients Linear Regression Program Implementation Pilot Studies Shiftwork Descriptive Statistics Oregon Exploratory Research Statistical Significance Software ab: Basic staffing and scheduling methods of the past are not meeting the complex demands of the nurse scheduling problem (NSP). The overall goal of this study was to develop and implement a nurse scheduling forecasting model for a 33- bed inpatient nursing unit to address the challenges of the NSP during the schedule creation phase. Results revealed the nurse scheduling forecasting model improved schedule accu racy and aligned nurse needs to vary by day of the week. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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