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Extracting what, when, why, and how from Radiology Reports in Real World Data acquisition projects

Pharma companies typically face issues with data that limit the quality of patient outcomes and profitability as a result of delayed clinical trials, limited channel access to quality data partners to deploy/validate innovative algorithms at scale or manage data from 3 rd parties to mitigate compliance risk.

The EDISON platform from GE Healthcare is a customizable and modular software platform that enables the deployment of HIPAA compliant healthcare solutions which can aggregate, correlate, analyze, process, display and share data from connected medical devices, sensors, and health information systems.

EDISON NLP is one such service that aims to deliver insights from unstructured clinical data to drive the development of pharma-oriented solutions. GE Healthcare and John Snow Labs collaborated to build an end-to-end solution to process radiology reports capable of extracting and linking all the concepts presented in the report. The concepts include Dates, Imaging Tests, Test Technique, Risk Factors, Body Parts, Measurements, and other general findings.

We then link them all together to identify the type and technique of the procedure, the body part where it was performed, when it was performed, and any conclusions as a result of the procedure. Also, since the reports contain tabular data, we built a system to extract tables from the unstructured text.

Using NLP to Improve Radiologist Productivity & Reduce Burnout

Radiology is a key diagnostic tool for many diseases and has an important role in monitoring treatment and predicting outcomes which have...