Rapid diagnoses at the breast center of Jeroen Bosch Hospital: a case study invoking queueing theory and discrete event simulation

Maartje van de Vrugt*, Richard J. Boucherie, Tineke J. Smilde, Mathijn de Jong, Maud Bessems

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)
43 Downloads (Pure)

Abstract

When suspected tissue is discovered in a patient’s breast, swiftly available diagnostic test results are essential for medical and psychological reasons. The breast center of the Jeroen Bosch Hospital aims to comply with new Dutch standards to provide 90% of the patients an appointment within three working days, and to communicate the test results to 90% of the patients within a week. This case study reports on interventions based on a discrete time queueing model and discrete event simulation. The implemented interventions concern a new patient appointment schedule and an additional multi-disciplinary meeting, which significantly improve in both the appointment and diagnostics delay. Additionally, we propose a promising new patient schedule to further reduce patient waiting times and staff overtime and provide guidelines for how to achieve implementation of Operations Research methods in practice.
Original languageEnglish
Pages (from-to)77-89
Number of pages13
JournalHealth systems
Volume6
Issue number1
DOIs
Publication statusPublished - 1 Mar 2017

Fingerprint

Systems Theory
Appointments and Schedules
Breast
Operations Research
Routine Diagnostic Tests
Guidelines
Psychology

Keywords

  • Intervention study
  • MSC-60K20
  • MSC-90B90
  • MSC-U20
  • Breast cancer
  • Discrete Event Simulation
  • Queueing Theory
  • Outpatient clinic

Cite this

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title = "Rapid diagnoses at the breast center of Jeroen Bosch Hospital: a case study invoking queueing theory and discrete event simulation",
abstract = "When suspected tissue is discovered in a patient’s breast, swiftly available diagnostic test results are essential for medical and psychological reasons. The breast center of the Jeroen Bosch Hospital aims to comply with new Dutch standards to provide 90{\%} of the patients an appointment within three working days, and to communicate the test results to 90{\%} of the patients within a week. This case study reports on interventions based on a discrete time queueing model and discrete event simulation. The implemented interventions concern a new patient appointment schedule and an additional multi-disciplinary meeting, which significantly improve in both the appointment and diagnostics delay. Additionally, we propose a promising new patient schedule to further reduce patient waiting times and staff overtime and provide guidelines for how to achieve implementation of Operations Research methods in practice.",
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Rapid diagnoses at the breast center of Jeroen Bosch Hospital : a case study invoking queueing theory and discrete event simulation. / van de Vrugt, Maartje; Boucherie, Richard J.; Smilde, Tineke J.; de Jong, Mathijn; Bessems, Maud.

In: Health systems, Vol. 6, No. 1, 01.03.2017, p. 77-89.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - van de Vrugt, Maartje

AU - Boucherie, Richard J.

AU - Smilde, Tineke J.

AU - de Jong, Mathijn

AU - Bessems, Maud

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AB - When suspected tissue is discovered in a patient’s breast, swiftly available diagnostic test results are essential for medical and psychological reasons. The breast center of the Jeroen Bosch Hospital aims to comply with new Dutch standards to provide 90% of the patients an appointment within three working days, and to communicate the test results to 90% of the patients within a week. This case study reports on interventions based on a discrete time queueing model and discrete event simulation. The implemented interventions concern a new patient appointment schedule and an additional multi-disciplinary meeting, which significantly improve in both the appointment and diagnostics delay. Additionally, we propose a promising new patient schedule to further reduce patient waiting times and staff overtime and provide guidelines for how to achieve implementation of Operations Research methods in practice.

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KW - MSC-90B90

KW - MSC-U20

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KW - Queueing Theory

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