Case Study

Big Data Analytics For Population Health

Big Data Analytics For Population Health

Pages 3 Pages

A top-5 healthcare payer sought to enhance population risk stratification by tapping into unstructured data like EHR notes and CCD documents. Partnering with IQVIA, they deployed the NLP Data Factory to extract risk factors such as diseases, family history, and lifestyle behaviors from Cloudera Hadoop and integrate structured outputs into Netezza. This pipeline transformed raw data into actionable insights, improving analysis of congestive heart failure populations. The GUI-driven platform enabled quick query building, reducing reliance on experts. Easily extendable to conditions like COPD, diabetes, and obesity, it delivered faster value, deeper insights, and improved care management.

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