Modeling Complex Medical Decision Problems with the Archimedes Model (2005)

Editorials16 August 2005Modeling Complex Medical Decision Problems with the Archimedes ModelMargaret L. Brandeau, PhDMargaret L. Brandeau, PhDFrom Stanford University School of Engineering, Stanford, CA 94305.Author, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-143-4-200508160-00012 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail How often should women 40 to 50 years of age undergo mammography? Could an HIV vaccine with only limited effectiveness be a cost-effective means of slowing the spread of HIV infection? What is the best work-up for a patient who has a suspected pulmonary embolism?In the ideal world, one would like free, fast, and ethical clinical trials that would provide the evidence needed to answer such questions. In the real world, these clinical trials may be too time-consuming, too expensive, unethical, or even impossible to perform. How, then, can we obtain useful answers about appropriate methods for disease prevention ...References1. Eddy DM, Schlessinger L, Kahn R. Clinical outcomes and cost-effectiveness of strategies for managing people at high risk for diabetes. Ann Intern Med. 2005;143:251-64. LinkGoogle Scholar2. Potter LK, Greller LD, Cho CR, Nuttall ME, Stroup GB, Suva LJ, et al. Response to continuous and pulsatile PTH dosing: a mathematical model for parathyroid hormone receptor kinetics. Bone. 2005;May 24 [Epub ahead of print]. [PMID: 15921971] Google Scholar3. Wein LM, D'Amato RM, Perelson AS. Mathematical analysis of antiretroviral therapy aimed at HIV-1 eradication or maintenance of low viral loads. J Theor Biol. 1998;192:81-98. [PMID: 9628841] CrossrefMedlineGoogle Scholar4. Los Alamos National Laboratories Computer and Computational Sciences Division. Transportation Analysis and Simulation System (TRANSIMS). Accessed at www.lanl.gov/delphi/projects/transims.shtml on 29 June 2005. Google Scholar5. Los Alamos National Laboratories Computer and Computational Sciences Division. Epidemiology System (EpiSims). Accessed at www.ccs.lanl.gov/ccs5/apps/epid.shtml on 29June 2005. Google Scholar6. Trahan MW, Sobel AL. Transnational and Homeland Defense: Software Tools for Biological Threat Reduction. Proceedings of the Workshop on United Science and Technology for Biological Threat Reduction. Santa Fe, NM: Univ of New Mexico Center for Advanced Studies; 2001. Available at www.foxdreams.com/work/papers/Software_Tools_for_Biological_Threat_Reduction.pdf. Google Scholar7. Eddy DM, Schlessinger L. Validation of the Archimedes diabetes model. Diabetes Care. 2003;26:3102-10. [PMID: 14578246] CrossrefMedlineGoogle Scholar8. Eddy DM, Schlessinger L. Archimedes: a trial-validated model of diabetes. Diabetes Care. 2003;26:3093-101. [PMID: 14578245] CrossrefMedlineGoogle Scholar9. Schlessinger L, Eddy DM. Archimedes: a new model for simulating health care systems—the mathematical formulation. J Biomed Inform. 2002;35:37-50. [PMID: 12415725] CrossrefMedlineGoogle Scholar10. Schlessinger L, Eddy DM, Kahn R. Equations for the Archimedes Model of Diabetes and Its Complications. Technical Report, Parts A and B. 2004. Available at www.archimedesmodel.com. Google Scholar Author, Article, and Disclosure InformationAffiliations: From Stanford University School of Engineering, Stanford, CA 94305.Disclosures: None disclosed.Corresponding Author: Margaret L. Brandeau, PhD, Department of Management Science and Engineering, Terman Building, Stanford University, Stanford, CA 94305-4026; e-mail, [email protected]edu. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoClinical Outcomes and Cost-Effectiveness of Strategies for Managing People at High Risk for Diabetes David M. Eddy , Leonard Schlessinger , and Richard Kahn Metrics Cited byCost-Effectiveness of Multitarget Stool DNA Testing vs Colonoscopy or Fecal Immunochemical Testing for Colorectal Cancer Screening in Alaska Native PeopleEconomic evaluations of screening strategies for the early detection of colorectal cancer in the average-risk population: A systematic literature reviewThe assessment of patient clinical outcome: A literature discussionHealth Benefits and Cost-effectiveness of a Hybrid Screening Strategy for Colorectal CancerEconomic Evaluation of Lifestyle Interventions for Preventing Diabetes and Cardiovascular DiseasesQuantifying a Strategic View of Diabetes Technology Impacts: A System Dynamics ApproachModel-Based Benefit–Risk Assessment: Can Archimedes Help?Lifestyle intervention for prevention of diabetes: determinants of success for future implementationVisualisation of Clinical and Non-clinical Characteristics of Patients with Behavioural and Psychological Symptoms of DementiaIs prevention of Type-2 diabetes feasible and efficient in primary care?A critical review of mathematical models and data used in diabetologyTrying To Predict the Future for People with Diabetes: A Tough but Important TaskMichael M. Engelgau, MD, MS 16 August 2005Volume 143, Issue 4Page: 303-304KeywordsBenign tumorsClinical trialsDecision analysisDiabetes preventionHealth care utilizationHealth information technologyInsulin resistanceMarkov modelsPancreasStable coronary artery disease ePublished: 16 August 2005 Issue Published: 16 August 2005 Copyright & PermissionsCopyright © 2005 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...