Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/31721
Title: Improving emergency department performance by revising the patient-physician assignment process
Authors: VANBRABANT, Lien 
BRAEKERS, Kris 
RAMAEKERS, Katrien 
Issue Date: 2021
Publisher: SPRINGER
Source: Flexible services and manufacturing journal (Print), 33(3), p. 783-845
Abstract: Emergency departments (EDs) are continuously exploring opportunities to improve their efficiency. A new opportunity lies in revising the patient-physician assignment process by limiting the number of patients simultaneously assigned to a single physician, which is defined as the application of a case manager approach with limited caseloads. The potential of introducing a case manager approach with limited caseloads as a way to improve physician productivity, and consequently ED performance, is investigated by use of a discrete-event simulation model based on a real-life case study. In addition, as the case manager system is characterised by three parameters that can be customised and optimised (i.e. caseload limit, pre-assignment queueing discipline and internal queueing discipline), the impact of these parameters on the effectiveness to improve ED performance in terms of length-of-stay and door-to-doctor time is evaluated. To the best of our knowledge, this paper is the first to examine the potential of a case manager system with limited caseloads in a complex service system like a real-life ED, and to investigate the impact of the three system parameters on the results. The outcomes of the study show that performance can be improved significantly by introducing a case manager system, and that the system parameters have an impact on the effect size.
Keywords: Discrete-event simulation;Emergency department;Case managers;Real-life case study;Healthcare operations
Document URI: http://hdl.handle.net/1942/31721
ISSN: 1936-6582
e-ISSN: 1936-6590
DOI: 10.1007/s10696-020-09388-2
ISI #: WOS:000540956000001
Rights: Springer Science+Business Media, LLC, part of Springer Nature 2020
Category: A1
Type: Journal Contribution
Validations: ecoom 2021
Appears in Collections:Research publications

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