Literature DB >> 12415725

Archimedes: a new model for simulating health care systems--the mathematical formulation.

Leonard Schlessinger1, David M Eddy.   

Abstract

This paper designs an object-oriented, continuous-time, full simulation model for addressing a wide range of clinical, procedural, administrative, and financial decisions in health care at a high level of biological, clinical, and administrative detail. The full model has two main parts, which with some simplification can be designated "physiology models" and "models of care processes." The models of care processes, although highly detailed, are mathematically straightforward. However, the mathematics that describes human biology, diseases, and the effects of interventions are more difficult. This paper describes the mathematical formulation and methods for deriving equations, for a variety of different sources of data. Although Archimedes was originally designed for health care applications, the formulation, and equations are general and can be applied to many natural systems.

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Year:  2002        PMID: 12415725     DOI: 10.1016/s1532-0464(02)00006-0

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  38 in total

1.  Computational modeling and multilevel cancer control interventions.

Authors:  Joseph P Morrissey; Kristen Hassmiller Lich; Rebecca Anhang Price; Jeanne Mandelblatt
Journal:  J Natl Cancer Inst Monogr       Date:  2012-05

2.  System dynamics modeling for public health: background and opportunities.

Authors:  Jack B Homer; Gary B Hirsch
Journal:  Am J Public Health       Date:  2006-01-31       Impact factor: 9.308

3.  Using mechanistic models to simulate comparative effectiveness trials of therapy and to estimate long-term outcomes in HIV care.

Authors:  Mark S Roberts; Kimberly A Nucifora; R Scott Braithwaite
Journal:  Med Care       Date:  2010-06       Impact factor: 2.983

4.  Computational reasoning across multiple models.

Authors:  Guy Tsafnat; Enrico W Coiera
Journal:  J Am Med Inform Assoc       Date:  2009-08-28       Impact factor: 4.497

5.  Building better models: if we build them, will policy makers use them? Toward integrating modeling into health care decisions.

Authors:  Jeanne Mandelblatt; Clyde Schechter; David Levy; Ann Zauber; Yaojen Chang; Ruth Etzioni
Journal:  Med Decis Making       Date:  2012 Sep-Oct       Impact factor: 2.583

Review 6.  A model of long-term metabolic progression of type 2 diabetes mellitus for evaluating treatment strategies.

Authors:  Adrian Bagust; Marc Evans; Sophie Beale; Philip D Home; Andrew S Perry; Murray Stewart
Journal:  Pharmacoeconomics       Date:  2006       Impact factor: 4.981

7.  Probabilistic techniques for obtaining accurate patient counts in Clinical Data Warehouses.

Authors:  Risa B Myers; Jorge R Herskovic
Journal:  J Biomed Inform       Date:  2011-10-01       Impact factor: 6.317

Review 8.  Prioritization of care in adults with diabetes and comorbidity.

Authors:  Neda Laiteerapong; Elbert S Huang; Marshall H Chin
Journal:  Ann N Y Acad Sci       Date:  2011-12       Impact factor: 5.691

Review 9.  Pharmacokinetic/pharmacodynamic modelling in diabetes mellitus.

Authors:  Cornelia B Landersdorfer; William J Jusko
Journal:  Clin Pharmacokinet       Date:  2008       Impact factor: 6.447

10.  Incorporating a generic model of subcutaneous insulin absorption into the AIDA v4 diabetes simulator: 1. a prospective collaborative development plan.

Authors:  Eldon D Lehmann; Cristina Tarín; Jorge Bondia; Edgar Teufel; Tibor Deutsch
Journal:  J Diabetes Sci Technol       Date:  2007-05
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