Methodology and modeling environment for simulating national health care

Bernard P. Zeigler, Ernest Carter, Chungman Seo, Cynthia K. Russell, Brenda A. Leath

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An ideal health care system is unlike today's fragmented, loosely coupled, and uncoordinated assemblage of component systems. An ideal (optimal) health care delivery system will require methods to model large loosely coupled distributed system of systems. This paper presents a modeling and simulation methodology to support design of coordinated care architectures as well as to predict important quality versus cost metrics of such architectures. Such a model would be both useful in itself while illustrative of a general framework for system of system level modeling. An essential and challenging aspect of such modeling is to include models of human behavior to provide a veridical basis for quality and cost assessment of coordination architectures.

Original languageEnglish (US)
Title of host publicationMedical Processes Modeling and Simulation 2012, MPMS 2012 - 2012 Autumn Simulation Multiconference, AutumnSim 2012
Pages25-35
Number of pages11
Edition18
StatePublished - 2012
Externally publishedYes
EventMedical Processes Modeling and Simulation 2012, MPMS 2012, Part of the 2012 Autumn Simulation Multiconference, AutumnSim 2012 - San Diego, CA, United States
Duration: Oct 28 2012Oct 31 2012

Publication series

NameSimulation Series
Number18
Volume44
ISSN (Print)0735-9276

Conference

ConferenceMedical Processes Modeling and Simulation 2012, MPMS 2012, Part of the 2012 Autumn Simulation Multiconference, AutumnSim 2012
Country/TerritoryUnited States
CitySan Diego, CA
Period10/28/1210/31/12

Keywords

  • Agent based modeling
  • DEVS M&S
  • Health care system
  • System Entity Structure (SES)
  • Systems of Systems (SoS)

ASJC Scopus subject areas

  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Methodology and modeling environment for simulating national health care'. Together they form a unique fingerprint.

Cite this