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Reducing access times for an endoscopy department by an iterative combination of computer simulation and Linear Programming

To reduce the access times of an endoscopy department, we developed an iterative combination of Discrete Event simulation and Integer Linear Programming. We developed the method in the Endoscopy Department of the Academic Medical Center in Amsterdam and compared different scenarios to reduce the acc...

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Published in:Health care management science 2010-03, Vol.13 (1), p.17-26
Main Authors: Joustra, P. E., de Wit, J., Struben, V. M. D., Overbeek, B. J. H., Fockens, P., Elkhuizen, S. G.
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description To reduce the access times of an endoscopy department, we developed an iterative combination of Discrete Event simulation and Integer Linear Programming. We developed the method in the Endoscopy Department of the Academic Medical Center in Amsterdam and compared different scenarios to reduce the access times for the department. The results show that by a more effective allocation of the current capacity, all procedure types will meet their corresponding performance targets in contrast to the current situation. This improvement can be accomplished without requiring additional equipment and staff. Currently, our recommendations are implemented.
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subjects Access time
Appointments and Schedules
Business and Management
Colonoscopy
Computer Simulation
Decision Support Systems, Management
Departments
Diagnostic department
Discrete event simulation
Econometrics
Efficiency
Efficiency, Organizational
Emergency medical care
Endoscopy
Gastroenterology
Health Administration
Health Informatics
Health Services Accessibility
Humans
Integer linear programming
Integer programming
Linear programming
Management
Medical imaging
Methods
Netherlands
Nurses
Operations Research/Decision Theory
Performance evaluation
Physicians
Programming, Linear
Schedules
Scheduling
Studies
Time Management
Ultrasonic imaging
Waiting lists
title Reducing access times for an endoscopy department by an iterative combination of computer simulation and Linear Programming
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