Method of data mining in medical applications

摘要

The present invention relates to a method of creating databases for data mining in medical applications. In one embodiment, the present invention relates to providing a data-driven objective reimbursement model incorporating performance and quality measures, tied to patient, exam, context, and provider-specific variables. In another embodiment, the present invention creates standardized databases where context, patient, provider, and technology specific variables are used to create an objective quantitative measure of exam complexity, which can be correlated with performance times and outcomes measures for iterative refinement. In another embodiment, through the combined analysis of examination complexity, interpretation accuracy, and interpretation times, specific to each individual radiologist, external pacers are created which can be customized to a radiologist's individual needs and preferences. The derived data is used to identify best practice patterns and end-user performance, which can be used by radiologists for individualized education and training.