CUSTOM-SEQ: a prototype for oncology rapid learning in a comprehensive EHR environment.

Background: 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.

Sleep, fatigue, and depressive symptoms in breast cancer survivors and matched healthy women experiencing hot flashes.

Purposes/objectives: To compare sleep quality and disturbance, fatigue, and depressive symptoms between breast cancer survivors and healthy women experiencing hot flashes and to examine relationships among sleep and remaining variables (fatigue, depressive symptoms, and frequency of hot flashes).

Design: Cross-sectional, descriptive, comparative pilot study.

Setting: University-based outpatient setting.