Final report of the meeting ?Modeling &amp; Simulation in Medicine: Towards an Integrated Framework?, July 20-21, 2000, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA

Higgins, Gerald A.; Athey, Brian D.; Bassingthwaighte, James B.; Burgess, James; Champion, Howard R.; Cleary, Kevin; Dev, Parvati; Duncan, James S.; Hopmeier, Michael; Jenkins, Donald H.; Johnson, Christopher; Kelly, Henry; Leitch, Robert A.; Lorensen, William E.; Metaxas, Dimitris N.; Spitzer, Victor M.; Vaidehi, Nagarajan; Vosburgh, Kirby G.; Winslow, Raimond L.

doi:10.1002/igs.1008

Cited by 8 publications

(2 citation statements)

References 2 publications

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“…As a core element of systems‐based organizational improvement, the importance of feedback and feedforward loops is best expressed as follows: “The quality and value of care produced by a large health system can be no better than the services generated by the small systems of which it is composed.” 13 System interdependencies at the micro and macro scales in health care have been previously explored by Carayon et al 12 and Karsh et al, 21 as well as by macroergonomics treatment of outpatient diagnostic laboratory testing by Hallock et al 93 Scalar efforts in other areas of biology and medicine corroborate the possibilities of similar approaches 94 …”

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confidence: 92%

Advanced Medical Simulation Applications for Emergency Medicine Microsystems Evaluation and Training

Kobayashi

Overly

Fairbanks

et al. 2008

Academic Emergency Medicine

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Participants in the 2008 Academic Emergency Medicine Consensus Conference ''The Science of Simulation in Healthcare: Defining and Developing Clinical Expertise'' morning workshop session on developing systems expertise were tasked with evaluating best applications of simulation techniques and technologies to small-scale systems in emergency medicine (EM). We collaborated to achieve several objectives: 1) describe relevant theories and terminology for discussion of health care systems and medical simulation, 2) review prior and ongoing efforts employing systems thinking and simulation programs in general medical sectors and acute care medicine, 3) develop a framework for discussion of systems thinking for EM, and 4) explore the rational application of advanced medical simulation methods to a defined framework of EM microsystems (EMMs) to promote a ''quality-by-design'' approach. This article details the materials compiled and questions raised during the consensus process, and the resulting simulation application framework, with proposed solutions as well as their limitations for EM systems education and improvement. ACADEMIC EMERGENCY MEDICINE 2008; 15:1058-1070 ª 2008 by the Society for Academic Emergency MedicineKeywords: emergency medicine, health services research, health care evaluation mechanisms, simulation, systems analysis, systems theory A ctivities of large organizations can be viewed and studied as the product of highly connected, dynamic, and interdependent groups exhibiting emergent properties, i.e., systems. Application of this framework as a problem-solving approach to contextualize institutions; explore the hierarchies and interactions

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confidence: 92%

Advanced Medical Simulation Applications for Emergency Medicine Microsystems Evaluation and Training

Kobayashi

Overly

Fairbanks

et al. 2008

Academic Emergency Medicine

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“…Nowadays, the term ‘physiome’ also refers to models of human physiology based on mathematical methods and computational techniques, traversing several disciplines (physics, chemistry, biology and bioengineering, medicine, informatics) and diverse spatial and temporal scales (from subcellular to holistic, from nanoseconds to tens of years). The Physiome Project (Higgins et al 2001) was the first worldwide effort to provide a computational framework for understanding human physiology. It aimed to develop integrative models at all levels of biological organization from genes up, via gene regulatory networks, protein pathways, integrative cell functions and structure–function relations for tissues and whole organs.…”

Section: Introductionmentioning

confidence: 99%

Proto-Plasm : parallel language for adaptive and scalable modelling of biosystems

Bajaj

DiCarlo

Paoluzzi

2008

Phil. Trans. R. Soc. A.

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This paper discusses the design goals and the first developments of Proto-Plasm, a novel computational environment to produce libraries of executable, combinable and customizable computer models of natural and synthetic biosystems, aiming to provide a supporting framework for predictive understanding of structure and behaviour through multiscale geometric modelling and multiphysics simulations. Admittedly, the Proto-Plasm platform is still in its infancy. Its computational framework—language, model library, integrated development environment and parallel engine—intends to provide patient-specific computational modelling and simulation of organs and biosystem, exploiting novel functionalities resulting from the symbolic combination of parametrized models of parts at various scales. Proto-Plasm may define the model equations, but it is currently focused on the symbolic description of model geometry and on the parallel support of simulations. Conversely, CellML and SBML could be viewed as defining the behavioural functions (the model equations) to be used within a Proto-Plasm program. Here we exemplify the basic functionalities of Proto-Plasm, by constructing a schematic heart model. We also discuss multiscale issues with reference to the geometric and physical modelling of neuromuscular junctions.

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Modeling and Simulation: Real‐World Examples

Fontaine

Cook

Combs

et al. 2008

Principles of Modeling and Simulation

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Final report of the meeting ?Modeling & Simulation in Medicine: Towards an Integrated Framework?, July 20-21, 2000, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA

Cited by 8 publications

References 2 publications

Advanced Medical Simulation Applications for Emergency Medicine Microsystems Evaluation and Training

Advanced Medical Simulation Applications for Emergency Medicine Microsystems Evaluation and Training

Proto-Plasm : parallel language for adaptive and scalable modelling of biosystems

Modeling and Simulation: Real‐World Examples

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