Nurse workforce scheduling in the emergency department: A sequential decision support system considering multiple objectives.
Abstract: Aim: We propose a nurse scheduling framework based on a set of performance measures that are aligned with multiple outcome measures. A case study for the emergency department is presented. Methods: A total of 142,564 emergency department attendances over 1 year were included in this study....
| Publicado en: | Journal of Nursing Management Vol. 26; no. 4; pp. 432 - 442 |
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| Autores principales: | , , , |
| Formato: | case study pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
May2018
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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=129933274&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 129933274 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09660429 81U jtl: Journal of Nursing Management issn: 09660429 maglogo: Y pubinfo: dt: May2018 vid: 26 iid: 4 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 129933274 129933274 129933274 10.1111/jonm.12560 129933274 ppf: 432 ppct: 10 formats: tig: atl: Nurse workforce scheduling in the emergency department: A sequential decision support system considering multiple objectives. aug: au: Ang, Boon Yew Lam, Shao Wei Sean Pasupathy, Yogeswary Ong, Marcus Eng Hock affil: Health Services Research Centre, Singapore Health Services, Singapore, Singapore sug: subj: Emergency Nursing Labor Supply Personnel Staffing and Scheduling Decision Support Systems, Management Personnel Staffing and Scheduling Information Systems Operating Rooms Administration Nursing Management Administrative Research Case Studies Human Workload Nurse-Patient Ratio Shiftwork Nursing Staff, Hospital Hospitals, Public Singapore Outcome Assessment Organizational Policies ab: Abstract: Aim: We propose a nurse scheduling framework based on a set of performance measures that are aligned with multiple outcome measures. A case study for the emergency department is presented. Methods: A total of 142,564 emergency department attendances over 1 year were included in this study. Operational requirements, constraints and historical workload data were translated into a mixed‐integer sequential goal programming model, which considers the following outcome measures: (1) nurse–patient ratios; (2) number of favourable/unfavourable shifts; and (3) dispersion of rest days. Computational studies compared the performance of the mixed‐integer sequential goal programming results with manually generated historical nurse schedules. Results: The maximum nurse–patient ratio deviation against the target was approximately 10% compared to 47% generated by the historical rosters (a 10% deviation translates to approximately two nurses). An on‐line decision support system, which integrates shift preferences, staff databases and a workload forecasting module, was also developed. Conclusion: A decision support system based on the mixed‐integer sequential goal programming modelling framework was proposed. The application of the model in a case study for an emergency department demonstrated improvements over existing manual scheduling methods. Implications for Nursing Management: This study demonstrates a mathematical, programming‐based decision support system, which allows for managerial priorities and nurse preferences to be jointly considered in the automatic generation of nurse rosters. pubtype: Academic Journal doctype: case study pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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