-
Warner JL, Wang L, Pao W, Sosman JA, Atreya RV, Carney P, Levy MA. CUSTOM-SEQ: a prototype for oncology rapid learning in a comprehensive EHR environment. Journal of the American Medical Informatics Association : JAMIA. 2016 Jul;23(23). 692-700.
Abstract
As targeted cancer therapies and molecular profiling become widespread, the era of "precision oncology" is at hand. However, cancer genomes are complex, making mutation-specific outcomes difficult to track. We created a proof-of-principle, CUSTOM-SEQ: Continuously Updating System for Tracking Outcome by Mutation, to Support Evidence-based Querying, to automatically calculate and display mutation-specific survival statistics from electronic health record data.