Integral resource capacity planning for inpatient care services based on bed census predictions by hour

Nikky Kortbeek*, Aleida Braaksma, Ferry H.F. Smeenk, Piet J.M. Bakker, Richard J. Boucherie

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

15 Citations (Scopus)
172 Downloads (Pure)

Abstract

The design and operations of inpatient care facilities are typically largely historically shaped. A better match with the changing environment is often possible, and even inevitable due to the pressure on hospital budgets. Effectively organizing inpatient care requires simultaneous consideration of several interrelated planning issues. Also, coordination with upstream departments like the operating theatre and the emergency department is much-needed. We present a generic analytical approach to predict bed census on nursing wards by hour, as a function of the Master Surgical Schedule and arrival patterns of emergency patients. Along these predictions, insight is gained on the impact of strategic (ie, case mix, care unit size, care unit partitioning), tactical (ie, allocation of operating roomtime, misplacement rules), and operational decisions (ie, time of admission/discharge). The method is used in the Academic Medical Center Amsterdam as a decision-support tool in a complete redesign of the inpatient care operations.
Original languageEnglish
Pages (from-to)1061-1076
Number of pages16
JournalJournal of the Operational Research Society
Volume66
Issue number7
DOIs
Publication statusPublished - Jul 2015

Keywords

  • Surgical Scheduling
  • 2023 OA procedure
  • Medical care units
  • Health service
  • Hospitals
  • Probability
  • Bed occupancy

Fingerprint

Dive into the research topics of 'Integral resource capacity planning for inpatient care services based on bed census predictions by hour'. Together they form a unique fingerprint.

Cite this