Cargando…

Capacity management of nursing staff as a vehicle for organizational improvement

BACKGROUND: Capacity management systems create insight into required resources like staff and equipment. For inpatient hospital care, capacity management requires information on beds and nursing staff capacity, on a daily as well as annual basis. This paper presents a comprehensive capacity model th...

Descripción completa

Detalles Bibliográficos
Autores principales: Elkhuizen, Sylvia G, Bor, Gert, Smeenk, Marjolein, Klazinga, Niek S, Bakker, Piet JM
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2228295/
https://www.ncbi.nlm.nih.gov/pubmed/18053136
http://dx.doi.org/10.1186/1472-6963-7-196
_version_ 1782149871753494528
author Elkhuizen, Sylvia G
Bor, Gert
Smeenk, Marjolein
Klazinga, Niek S
Bakker, Piet JM
author_facet Elkhuizen, Sylvia G
Bor, Gert
Smeenk, Marjolein
Klazinga, Niek S
Bakker, Piet JM
author_sort Elkhuizen, Sylvia G
collection PubMed
description BACKGROUND: Capacity management systems create insight into required resources like staff and equipment. For inpatient hospital care, capacity management requires information on beds and nursing staff capacity, on a daily as well as annual basis. This paper presents a comprehensive capacity model that gives insight into required nursing staff capacity and opportunities to improve capacity utilization on a ward level. METHODS: A capacity model was developed to calculate required nursing staff capacity. The model used historical bed utilization, nurse-patient ratios, and parameters concerning contract hours to calculate beds and nursing staff needed per shift and the number of nurses needed on an annual basis in a ward. The model was applied to three different capacity management problems on three separate groups of hospital wards. The problems entailed operational, tactical, and strategic management issues: optimizing working processes on pediatric wards, predicting the consequences of reducing length of stay on nursing staff required on a cardiology ward, and calculating the nursing staff consequences of merging two internal medicine wards. RESULTS: It was possible to build a model based on easily available data that calculate the nursing staff capacity needed daily and annually and that accommodate organizational improvements. Organizational improvement processes were initiated in three different groups of wards. For two pediatric wards, the most important improvements were found to be improving working processes so that the agreed nurse-patient ratios could be attained. In the second case, for a cardiology ward, what-if analyses with the model showed that workload could be substantially lowered by reducing length of stay. The third case demonstrated the possible savings in capacity that could be achieved by merging two small internal medicine wards. CONCLUSION: A comprehensive capacity model was developed and successfully applied to support capacity decisions on operational, tactical, and strategic levels. It appeared to be a useful tool for supporting discussions between wards and hospital management by giving objective and quantitative insight into staff and bed requirements. Moreover, the model was applied to initiate organizational improvements, which resulted in more efficient capacity utilization.
format Text
id pubmed-2228295
institution National Center for Biotechnology Information
language English
publishDate 2007
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-22282952008-02-05 Capacity management of nursing staff as a vehicle for organizational improvement Elkhuizen, Sylvia G Bor, Gert Smeenk, Marjolein Klazinga, Niek S Bakker, Piet JM BMC Health Serv Res Research Article BACKGROUND: Capacity management systems create insight into required resources like staff and equipment. For inpatient hospital care, capacity management requires information on beds and nursing staff capacity, on a daily as well as annual basis. This paper presents a comprehensive capacity model that gives insight into required nursing staff capacity and opportunities to improve capacity utilization on a ward level. METHODS: A capacity model was developed to calculate required nursing staff capacity. The model used historical bed utilization, nurse-patient ratios, and parameters concerning contract hours to calculate beds and nursing staff needed per shift and the number of nurses needed on an annual basis in a ward. The model was applied to three different capacity management problems on three separate groups of hospital wards. The problems entailed operational, tactical, and strategic management issues: optimizing working processes on pediatric wards, predicting the consequences of reducing length of stay on nursing staff required on a cardiology ward, and calculating the nursing staff consequences of merging two internal medicine wards. RESULTS: It was possible to build a model based on easily available data that calculate the nursing staff capacity needed daily and annually and that accommodate organizational improvements. Organizational improvement processes were initiated in three different groups of wards. For two pediatric wards, the most important improvements were found to be improving working processes so that the agreed nurse-patient ratios could be attained. In the second case, for a cardiology ward, what-if analyses with the model showed that workload could be substantially lowered by reducing length of stay. The third case demonstrated the possible savings in capacity that could be achieved by merging two small internal medicine wards. CONCLUSION: A comprehensive capacity model was developed and successfully applied to support capacity decisions on operational, tactical, and strategic levels. It appeared to be a useful tool for supporting discussions between wards and hospital management by giving objective and quantitative insight into staff and bed requirements. Moreover, the model was applied to initiate organizational improvements, which resulted in more efficient capacity utilization. BioMed Central 2007-11-30 /pmc/articles/PMC2228295/ /pubmed/18053136 http://dx.doi.org/10.1186/1472-6963-7-196 Text en Copyright © 2007 Elkhuizen et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Elkhuizen, Sylvia G
Bor, Gert
Smeenk, Marjolein
Klazinga, Niek S
Bakker, Piet JM
Capacity management of nursing staff as a vehicle for organizational improvement
title Capacity management of nursing staff as a vehicle for organizational improvement
title_full Capacity management of nursing staff as a vehicle for organizational improvement
title_fullStr Capacity management of nursing staff as a vehicle for organizational improvement
title_full_unstemmed Capacity management of nursing staff as a vehicle for organizational improvement
title_short Capacity management of nursing staff as a vehicle for organizational improvement
title_sort capacity management of nursing staff as a vehicle for organizational improvement
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2228295/
https://www.ncbi.nlm.nih.gov/pubmed/18053136
http://dx.doi.org/10.1186/1472-6963-7-196
work_keys_str_mv AT elkhuizensylviag capacitymanagementofnursingstaffasavehiclefororganizationalimprovement
AT borgert capacitymanagementofnursingstaffasavehiclefororganizationalimprovement
AT smeenkmarjolein capacitymanagementofnursingstaffasavehiclefororganizationalimprovement
AT klazinganieks capacitymanagementofnursingstaffasavehiclefororganizationalimprovement
AT bakkerpietjm capacitymanagementofnursingstaffasavehiclefororganizationalimprovement