Generating real-world evidence from unstructured clinical notes to examine clinical utility of genetic tests: use case in BRCAness.

ABSTRACT:

Background

Next-generation sequencing provides comprehensive information about individuals' genetic makeup and is commonplace in oncology clinical practice. However, the utility of genetic information in the clinical decision-making process has not been examined extensively from a real-world, data-driven perspective. Through mining real-world data (RWD) from clinical notes, we could extract patients' genetic information and further associate treatment decisions with genetic information.

Methods

We proposed a real-world evidence (RWE) study framework that incorporates context-based natural language processing (NLP) methods and data quality examination before final association analysis. The framework was demonstrated in a Foundation-tested women cancer cohort (N = 196). Upon r

SUBMITTER: Zhao Y 

PROVIDER: S-EPMC7789545 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature