Health Affairs, 26, no. 2 (2007): w125-w136 (Published online 26 January 2007) doi: 10.1377/hlthaff.26.2.w125 © 2007 by Project HOPE	New Online   House Health Reform Bill   Paying for Reform   Vetting AHIP's Report   HIV/AIDS Costs   Brief: Insurance Reform   HA Blog Top 10

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Linking Electronic Medical Records To Large-Scale Simulation Models: Can We Put Rapid Learning On Turbo?

One method for rapid learning is to use data from electronic medical records (EMRs) to help build and validate large-scale, physiology-based simulation models. These models can than be used to help answer questions that cannot be addressed directly from the EMR data. Their potential uses include analyses of physiological pathways; simulation and design of clinical trials; and analyses of clinical management tools such as guidelines, performance measures, priority setting, and cost-effectiveness. Linking the models to EMR data also facilitates tailoring analyses to specific populations. The models’ power and accuracy can be improved by linkage to comprehensive, person-specific, longitudinal data from EMRs.

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