Hybrid simulation with loosely coupled system dynamics and agent-based models for Prospective Health Technology Assessments

Djanatliev, Anatoli; German, Reinhard; Kolominsky-Rabas, Peter; Hofmann, Bernd

doi:10.1109/wsc.2012.6465024

Cited by 25 publications

(15 citation statements)

References 13 publications

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“…Djanatliev et al (2012) believe that a combination of methods could profit in assembling complex, large-scale simulation architectures, and that taking advantage of different modeling methods could help them in answering multiple questions about economic prognoses and impacts of different factors on patient's health. Currently, multi-method simulations are employed more often because problems of a more complex nature are being targeted (Swinerd and McNaught 2012).…”

Section: What Are the Justifications For Using Multi-methods Mands?mentioning

confidence: 99%

“…Investigation of appropriateness of multi-method M&S to represent social phenomena can help the growing trend of trying to incorporate social phenomena into more descriptive simulations (Bhavnani and Choi 2012;Djanatliev et al 2012;Hoad and Watts 2012;Lieberman 2012;Onggo 2012;Viana et al 2012;Zulkepli, Eldabi, and Mustafee 2012).…”

Section: What Are the Justifications For Using Multi-methods Mands?mentioning

confidence: 99%

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Exploration of purpose for multi-method simulation in the context of social phenomena representation

Balaban¹,

Hester²

2013

2013 Winter Simulations Conference (WSC)

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Difficulty of social phenomena representation can be related to limitations of used modeling techniques. More flexibility and creativity to represent social phenomena (an adequate mix of model scope, resolution, and fidelity) is desirable. The representation of social phenomena with a combination of different methods seems intuitively appealing, but the usefulness of this approach is questionable. Current view on the justification of multi-method has limitations in social science context, because it lacks a human dimension. This paper explores the literature that pertains to mixing methods, and displays current reasoning behind the use of the multi-method approach. The perspective on mixing methods from empirical social science projected onto M&S domain exposes high-level purposes related to representation of social phenomena with mixed method approaches. Based on the reviewed literature and qualitative analysis, the general view of ingredients for inferring purposefulness of the multi-method approach in the context of social phenomena representation is proposed. INTRODUCTIONA multi-method M&S approach pertains to a combination of at least two M&S methods that combined allow for a unique system or phenomena representation and execution. At a more abstract mental dimension, the multi-method M&S approach could be perceived as a way of diverse representation through different mental models that direct to use of different M&S methods. The multi-method M&S approach has already found its way to represent technical phenomena, for instance: in manufacturing (Rabelo et al. 2003); healthcare (Brailsford, Desai, and Viana 2010; Chahal and Eldabi 2008); and supply chain (Lee et al. 2002). In these papers, methods can often complement each other. Technical phenomena that are considered in these studies usually require only two levels of analysis; a macro level model represented using SD, and a meso level model using DES. Social phenomena are usually very complex and can include many metrics at more than two levels. Representation of social phenomena with a combination of different methods seems intuitively appealing, but this approach has not been given sufficient attention. In order to be more representative, social phenomena may require representation of intelligent entities and operate at many, not always well-bounded, levels of analysis. This intuitively seems more complex than representation of technical phenomena, which usually does not require representation of proactive behavior. Social phenomena representation must often preserve phenomena complexity in order to allow for exploration. Recently, communities that were usually focused on representation of technical phenomena also started investigation of social concepts to enhance their perspectives (Behdani 2012, Brailsford et al. 2011, Hoad and Watts 2012. Unfortunately, the usefulness of multi-method M&S to represent social phenomena is not well understood and clear. Answering even 1661 978-1-4799-3950-3/13/$31.00 ©2013 IEEE

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Section: What Are the Justifications For Using Multi-methods Mands?mentioning

confidence: 99%

Section: What Are the Justifications For Using Multi-methods Mands?mentioning

confidence: 99%

Exploration of purpose for multi-method simulation in the context of social phenomena representation

Balaban¹,

Hester²

2013

2013 Winter Simulations Conference (WSC)

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“…One recent agent-based approach focuses on community-associated antibiotic resistance (Macal et al 2012), an even more challenging problem that requires modeling dynamics throughout the entire community. Perhaps the closest related work is the combination of agent-based simulation with loosely-coupled system dynamics (Djanatliev et al 2012), although the application to mobile stroke units is different than our focus, and modeling population and disease dynamics using system dynamics differs from our in-host model.…”

Section: Related Workmentioning

confidence: 99%

A hybrid agent-based and differential equations model for simulating antibiotic resistance in a hospital ward

Caudill

Lawson

2013

2013 Winter Simulations Conference (WSC)

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Serious infections due to antibiotic-resistant bacteria are pervasive, and of particular concern within hospital units due to frequent interaction among health-care workers and patients. Such nosocomial infections are difficult to eliminate because of inconsistent disinfection procedures and frequent interactions among infected persons, and because ill-chosen antibiotic treatment strategies can lead to a growth of resistant bacterial strains. Clinical studies to address these concerns have several issues, but chief among them are the effects on the patients involved. Realistic simulation models offer an attractive alternative. This paper presents a hybrid simulation model of antibiotic resistant infections in a hospital ward, combining agentbased simulation to model the inter-host interactions of patients and health-care workers with a detailed differential equations and probabilistic model of intra-host bacterial and antibiotic dynamics. Initial results to benchmark the model demonstrate realistic behavior and suggest promising extensions to achieve a highly-complex yet accurate mechanism for testing antibiotic strategies.

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“…Many works demonstrated the feasibility of integrated approaches in healthcare. Most of the integrated models have combined DES and SD techniques [15], [16], [17], [20] and [21] while some other works [14] and [19] have combined DES and ABS approaches and [18] has combine ABS and SD approaches.…”

Section: Introductionmentioning

confidence: 99%

Individual versus integrated simulation techniques in healthcare applications

Abdelghany

Eltawil

2014

2014 IEEE International Conference on Industrial Engineering and Engineering Management

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This paper compares between the individual and integrated simulation models used in the healthcare context. The paper focuses on the individual models using Agent-Based Simulation (ABS), Discrete Event Simulation (DES), and System Dynamics (SD), in addition to the integrated approaches as well as hybrid simulation, considering the advantages and limitations for each technique and the simulation software packages used for modeling. We demonstrate the advantage of the integrated approaches over the individual approaches. Integrated approaches help in modeling more complex healthcare systems and overcome the individual methods limitations. The paper concludes by a suggested framework for integrating the three methods in modeling of emergency rooms in order to achieve new objectives and improve performance.

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Hybrid simulation with loosely coupled system dynamics and agent-based models for Prospective Health Technology Assessments

Cited by 25 publications

References 13 publications

Exploration of purpose for multi-method simulation in the context of social phenomena representation

Exploration of purpose for multi-method simulation in the context of social phenomena representation

A hybrid agent-based and differential equations model for simulating antibiotic resistance in a hospital ward

Individual versus integrated simulation techniques in healthcare applications

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