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1: Health Aff (Millwood). 2007 Mar-Apr;26(2):w125-36. Epub 2007 Jan 26.Click here to read Links
Comment in:
Health Aff (Millwood). 2007 Mar-Apr;26(2):w137-9.

Linking electronic medical records to large-scale simulation models: can we put rapid learning on turbo?

Eddy DM.

Archimedes Inc., San Francisco, CA, USA. eddyaspen@yahoo.com

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.

PMID: 17259194 [PubMed - indexed for MEDLINE]