De grootste kennisbank van het HBO

Inspiratie op jouw vakgebied

Vrij toegankelijk

Terug naar zoekresultatenDeel deze publicatie

Keeping pace with the ebbs and flows in daily nursing home operations

Keeping pace with the ebbs and flows in daily nursing home operations

Samenvatting

Nursing homes are challenged to develop staffing strategies that enable them to efficiently meet the healthcare demand of their residents. In this study, we investigate how demand for care and support fluctuates over time and during the course of a day, using demand data from three independent nursing home departments of a single Dutch nursing home. This demand data is used as input for an optimization model that provides optimal staffing patterns across the day. For the optimization we use a Lindley-type equation and techniques from stochastic optimization to formulate a Mixed-Integer Linear Programming (MILP) model. The impact of both the current and proposed staffing patterns, in terms of waiting time and service level, are investigated. The results show substantial improvements for all three departments both in terms of average waiting time as well as in 15 minutes service level. Especially waiting during rush hours is significantly reduced, whereas there is only a slight increase in waiting time during non-rush hours.

Toon meer
OrganisatieHAN University of Applied Sciences
AfdelingAcademie Organisatie en Ontwikkeling
LectoraatLogistiek en Allianties
Gepubliceerd inHealth Care Management Science Springer US, Pagina's: 1-31
Jaar2018
TypeArtikel
Handle20.500.12470/30
TaalOnbekend

Op de HBO Kennisbank vind je publicaties van 26 hogescholen

De grootste kennisbank van het HBO

Inspiratie op jouw vakgebied

Vrij toegankelijk