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

René Bekker*, Dennis Moeke, Bas Schmidt

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

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Abstract

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.

Original languageEnglish
Pages (from-to)350-363
Number of pages14
JournalHealth Care Management Science
Volume22
Issue number2
Early online date12 Mar 2018
DOIs
Publication statusPublished - 15 Jun 2019

Keywords

  • Demand patterns
  • Nursing home care
  • Scheduled care
  • Scheduling
  • Staffing
  • Waiting times

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