title: Linking electronic medical records to large-scale simulation models: can we put rapid learning on turbo?
abstract: 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.
authors.affiliation: Archimedes Inc., San Francisco, CA, USA. eddyaspen@yahoo.com
authors.forename: David M
authors.initials: DM
authors.lastname: Eddy
mesh_terms: D004059:Diffusion of Innovation; D006801:Humans; D007858:Learning; D008498:Medical Record Linkage; D016347:Medical Records Systems, Computerized / Q000458:organization & administration*; D008954:Models, Biological; D017749:Total Quality Management; D014481:United States