A Computational Framework for Search, Discovery, and Trending of Patient Health in Radiology Reports

The healthcare industry as a whole lags far behind other industries in terms of knowledge discovery capabilities. There are many piece-wise approaches to analysis of patient records. Unfortunately, there are few approaches that enable a completely automated approach that supports not just search, but also discovery and prediction of patient health. The work presented here describes a computational framework that provides near complete automation of the discovery and trending of patient characteristics. This approach has been successfully applied to the domain of mammography, but could be applied to other domains of radiology with minimal effort.