research-article

Hybrid simulation with loosely coupled system dynamics and agent-based models for prospective health technology assessments

Authors:

Anatoli Djanatliev,

Reinhard German,

Peter Kolominsky-Rabas,

Bernd M. HofmannAuthors Info & Claims

WSC '12: Proceedings of the Winter Simulation Conference

Article No.: 69, Pages 1 - 12

Published: 09 December 2012 Publication History

Abstract

Due to the ageing of the world population, the demand for technology innovations in healthcare is growing rapidly. All stakeholders (e.g., patients, healthcare providers and health industry) can take profit of innovative products, but the development degenerates often into a time consuming and cost-intensive process. Prospective Health Technology Assessment (ProHTA) is a new approach that combines the knowledge of an interdisciplinary team and uses simulation techniques to indicate the effects of new innovations early before the expensive and risky development phase begins. In this paper, we describe an approach with loosely coupled system dynamics and agent-based models within a hybrid simulation environment for ProHTA as well as a use-case scenario with an innovative stroke technology. The project ProHTA is a part of the Centre of Excellence for Medical Technology and is supported by the German Federal Ministry of Education and Research (BMBF), project grant No. 01EX1013B.

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Digital Library

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Digital Library

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Viana JSimonsen TDahl FFlo KJohansson BJain S(2018)A hybrid discrete event agent based overdue pregnancy outpatient clinic simulation modelProceedings of the 2018 Winter Simulation Conference10.5555/3320516.3320699(1488-1499)Online publication date: 9-Dec-2018
https://dl.acm.org/doi/10.5555/3320516.3320699
Brito TBotter R(2017)A cross-paradigm simulation framework for complex logistics systemsProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242313(1-12)Online publication date: 3-Dec-2017
https://dl.acm.org/doi/10.5555/3242181.3242313
Viana JRand-Hendriksen KSimonsen TBarra MDahl FHuschka TChick S(2016)Do hybrid simulation models always increase flexibility to handle parametric and structural changes?Proceedings of the 2016 Winter Simulation Conference10.5555/3042094.3042280(1439-1450)Online publication date: 11-Dec-2016
https://dl.acm.org/doi/10.5555/3042094.3042280
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Index Terms

Hybrid simulation with loosely coupled system dynamics and agent-based models for prospective health technology assessments
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
      1. Multi-agent systems
  2. Modeling and simulation
    1. Simulation evaluation
    2. Simulation types and techniques
      1. Distributed simulation

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Published In

cover image ACM Conferences

WSC '12: Proceedings of the Winter Simulation Conference

December 2012

4271 pages

General Chair:
Oliver Rose
Universität der Bundeswehr München, Germany
,
Program Chair:
Adelinde M. Uhrmacher
University of Rostock, Germany

Sponsors

IIE: Institute of Industrial Engineers
INFORMS-SIM: Institute for Operations Research and the Management Sciences: Simulation Society
SCS: Shanghai Computer Society
SIGSIM: ACM Special Interest Group on Simulation and Modeling

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Winter Simulation Conference

Publication History

Published: 09 December 2012

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WSC '12

Sponsor:

IIE
INFORMS-SIM
SCS
SIGSIM

WSC '12: Winter Simulation Conference

December 9 - 12, 2012

Berlin, Germany

Acceptance Rates

WSC '12 Paper Acceptance Rate 189 of 384 submissions, 49%;

Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Cited By

Viana JSimonsen TDahl FFlo KJohansson BJain S(2018)A hybrid discrete event agent based overdue pregnancy outpatient clinic simulation modelProceedings of the 2018 Winter Simulation Conference10.5555/3320516.3320699(1488-1499)Online publication date: 9-Dec-2018
https://dl.acm.org/doi/10.5555/3320516.3320699
Brito TBotter R(2017)A cross-paradigm simulation framework for complex logistics systemsProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242313(1-12)Online publication date: 3-Dec-2017
https://dl.acm.org/doi/10.5555/3242181.3242313
Viana JRand-Hendriksen KSimonsen TBarra MDahl FHuschka TChick S(2016)Do hybrid simulation models always increase flexibility to handle parametric and structural changes?Proceedings of the 2016 Winter Simulation Conference10.5555/3042094.3042280(1439-1450)Online publication date: 11-Dec-2016
https://dl.acm.org/doi/10.5555/3042094.3042280
Keshtkaran MHearne JAbbasi BChurilov L(2015)Stroke care systemsProceedings of the 2015 Winter Simulation Conference10.5555/2888619.2888774(1379-1390)Online publication date: 6-Dec-2015
https://dl.acm.org/doi/10.5555/2888619.2888774
Mustafee NSahnoun MSmart AGodsiff PBaudry DLouis ADiallo STolk A(2015)Investigating execution strategies for hybrid models developed using multiple M&S methodologiesProceedings of the 48th Annual Simulation Symposium10.5555/2876341.2876352(78-85)Online publication date: 12-Apr-2015
https://dl.acm.org/doi/10.5555/2876341.2876352
Powell JMustafee NBuckley SMiller J(2014)Soft or approaches in problem formulation stage of a hybrid M&S studyProceedings of the 2014 Winter Simulation Conference10.5555/2693848.2694059(1664-1675)Online publication date: 7-Dec-2014
https://dl.acm.org/doi/10.5555/2693848.2694059
Pruckner MGerman RHill RKuhl M(2013)A hybrid simulation model for large-scaled electricity generation systemsProceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World10.5555/2675983.2676218(1881-1892)Online publication date: 8-Dec-2013
https://dl.acm.org/doi/10.5555/2675983.2676218
Balaban MHester PHill RKuhl M(2013)Exploration of purpose for multi-method simulation in the context of social phenomena representationProceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World10.5555/2675983.2676190(1661-1672)Online publication date: 8-Dec-2013
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Caudill LLawson BHill RKuhl M(2013)A hybrid agent-based and differential equations model for simulating antibiotic resistance in a hospital wardProceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World10.5555/2675983.2676162(1419-1430)Online publication date: 8-Dec-2013
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Djanatliev AGerman RHill RKuhl M(2013)Prospective healthcare decision-making by combined system dynamics, discrete-event and agent-based simulationProceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World10.5555/2675983.2676016(270-281)Online publication date: 8-Dec-2013
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