Using Expert Systems for Simulation Modeling of Patient Scheduling

Standridge, Charles R.; Steward, Duane

doi:10.1177/003754970007500303

Cited by 11 publications

(3 citation statements)

References 9 publications

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“…Sickinger and Kolish [22] propose a generalization of the Bailey-Welch rule as well as a neighborhood search heuristic for a medical service facility with two resources. Standridge and Steward [23] propose a simulation model that includes a control logic for patient scheduling. The system presented by the authors schedules patients within a simulation framework.…”

Section: Related Workmentioning

confidence: 99%

Modeling and Simulation of Nuclear Medicine Patient Service Management in DEVS

Pérez

Ntaimo

Bailey³

et al. 2010

SIMULATION

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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.

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Section: Related Workmentioning

confidence: 99%

Modeling and Simulation of Nuclear Medicine Patient Service Management in DEVS

Pérez

Ntaimo

Bailey³

et al. 2010

SIMULATION

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“…Complex production planning and scheduling problems have been dealt based on a architectural approach [9]. Other tools like SIMSCRIPT-II.5 and SLAM System have been used in modeling work flow processes [10]. A simulation model based on data from the ERP system including a simple scheduling logic was developed [11].…”

Section: State-of-the-artmentioning

confidence: 99%

Reactive business processes for factory automation

Savio

Karnouskos

Souza

et al. 2009

2009 7th IEEE International Conference on Industrial Informatics

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Modern enterprises operate on a global scale and depend on complex business processes. Business continuity needs to be guaranteed, while changes at the shop floor should happen onthe-fly without stopping the production process. Unfortunately, the existing business processes found in most enterprises are not modular enough, nor they have dynamic support from the device level. However, as the number of sophisticated networked embedded devices in the shop-floor increases, SOA concepts can now be pushed down and provide a better collaboration between the business systems and the production line. This leads to highly dynamic systems that can adapt and optimize their behavior to achieve their goals. The work presented here shows directions to achieve this dynamism by means of simulation, state identification and close coupling of real world and business systems.

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“…They note that this is only effective when the rules are sufficiently simple to be represented within the simulation software. Standridge and Steward (2000) link SLAMSYSTEM with an expert system written in C. Neither of these represent the use of a standard simulation software package with a standard expert systems package, as described in this paper.…”

Section: Previous Work Linking Simulations With Expert Systemsmentioning

confidence: 99%

Linking the Witness Simulation Software to an Expert System to Represent a Decision�Making Process

Robinson¹,

Edwards²,

Yongfa³

2003

CIT

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Expert systems, and artificial intelligence more generally, can provide a useful means for representing decisionmaking processes. By linking expert systems software to simulation software, an effective means of including these decision-making processes in a simulation model can be achieved. This paper demonstrates how a commercial off-the-shelf simulation package (Witness) can be linked to an expert systems package (XpertRule) through a Visual Basic interface. The methodology adopted could be used for models, and possibly software, other than those presented here.

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Using Expert Systems for Simulation Modeling of Patient Scheduling

Cited by 11 publications

References 9 publications

Modeling and Simulation of Nuclear Medicine Patient Service Management in DEVS

Modeling and Simulation of Nuclear Medicine Patient Service Management in DEVS

Reactive business processes for factory automation

Linking the Witness Simulation Software to an Expert System to Represent a Decision�Making Process

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