Rapid diagnoses at the breast center of Jeroen Bosch Hospital: a case study invoking queueing theory and discrete event simulation
| Autor: | Richard J. Boucherie, Tineke J. Smilde, Maud Bessems, Mathijn D F de Jong, Maartje van de Vrugt |
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| Přispěvatelé: | Stochastic Operations Research, Center for Healthcare Operations Improvement and Research |
| Rok vydání: | 2017 |
| Předmět: |
MSC-U20
Schedule Outpatient clinic 0211 other engineering and technologies Psychological intervention Health Informatics 02 engineering and technology 03 medical and health sciences Breast cancer MSC-60K20 Nursing Medicine MSC-90B90 Medical diagnosis Discrete event simulation Discrete Event Simulation Queueing theory 021103 operations research Intervention study business.industry 030503 health policy & services Health Policy Overtime medicine.disease Test (assessment) Queueing Theory Medical emergency 0305 other medical science business |
| Zdroj: | Health systems, 6(1), 77-89. Taylor & Francis |
| ISSN: | 2047-6973 2047-6965 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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