Quantitative Circulatory Physiology: an integrative mathematical model of human physiology for medical education

Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, Mississippi Address for reprint requests and other correspondence: R. L. Hester, Dept. of Physiology and Biophysics, Univ. of Mississippi Medical Center, 2500 N. State St., Jackson, MS 39216-4505 (e-mail: rhe...

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Published inAdvances in physiology education Vol. 31; no. 2; pp. 202 - 210
Main Authors Abram, Sean R, Hodnett, Benjamin L, Summers, Richard L, Coleman, Thomas G, Hester, Robert L
Format Journal Article
LanguageEnglish
Published United States American Physiological Society 01.06.2007
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Summary:Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, Mississippi Address for reprint requests and other correspondence: R. L. Hester, Dept. of Physiology and Biophysics, Univ. of Mississippi Medical Center, 2500 N. State St., Jackson, MS 39216-4505 (e-mail: rhester{at}physiology.umsmed.edu ) Abstract We have developed Quantitative Circulatory Physiology (QCP), a mathematical model of integrative human physiology containing over 4,000 variables of biological interactions. This model provides a teaching environment that mimics clinical problems encountered in the practice of medicine. The model structure is based on documented physiological responses within peer-reviewed literature and serves as a dynamic compendium of physiological knowledge. The model is solved using a desktop, Windows-based program, allowing students to calculate time-dependent solutions and interactively alter over 750 parameters that modify physiological function. The model can be used to understand proposed mechanisms of physiological function and the interactions among physiological variables that may not be otherwise intuitively evident. In addition to open-ended or unstructured simulations, we have developed 30 physiological simulations, including heart failure, anemia, diabetes, and hemorrhage. Additional stimulations include 29 patients in which students are challenged to diagnose the pathophysiology based on their understanding of integrative physiology. In summary, QCP allows students to examine, integrate, and understand a host of physiological factors without causing harm to patients. This model is available as a free download for Windows computers at http://physiology.umc.edu/themodelingworkshop . Key words: simulation; computer modeling
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ISSN:1043-4046
1522-1229
DOI:10.1152/advan.00114.2006