Genetic Algorithm Based System for Patient Scheduling in Highly Constrained Situations
CBMS'97 Proceedings of the 10th conference on Computer based medical systems
Impact points in patient flows through a radiology department provided through simulation
WSC '87 Proceedings of the 19th conference on Winter simulation
Proceedings of the 32nd conference on Winter simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Theory of Modeling and Simulation
Theory of Modeling and Simulation
A study of the CT scan area of a healthcare provider
WSC '04 Proceedings of the 36th conference on Winter simulation
Simulation of a multiple operating room surgical suite
Proceedings of the 38th conference on Winter simulation
Managing Patient Service in a Diagnostic Medical Facility
Operations Research
Dynamic Multipriority Patient Scheduling for a Diagnostic Resource
Operations Research
Revenue Management for a Primary-Care Clinic in the Presence of Patient Choice
Operations Research
Adaptive resource allocation for efficient patient scheduling
Artificial Intelligence in Medicine
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Increased demand for specialized healthcare services has been identified as one of the causes of increased healthcare costs in the US. Nuclear medicine, a sub-specialty of radiology, uses relatively new technology to diagnose and treat patients. Procedures (tests) in nuclear medicine require the use of radiopharmaceuticals with a limited half-life and involve several steps that are constrained by strict time windows and require multiple resources for completion. Consequently, managing patient service in nuclear medicine is a very challenging problem that has received very little research attention. In this paper, we present a discrete event system specification (DEVS) simulation model for nuclear medicine patient service management that considers both patient and management perspectives. DEVS is a formal modeling and simulation framework based on dynamical systems theory and provides well-defined concepts for coupling components, hierarchical and modular model construction, and an object-oriented substrate supporting repository reuse. We report on simulation results based on historical data using both patient and management performance measures. The results provide useful insights regarding the management of patient service in nuclear medicine. While this work focuses on nuclear medicine, results will find generality in other healthcare settings.