Case Study: Rush University Medical Center achieves near-real-time precision medicine and doubles ML model accuracy with Cloudera

Rush University Medical Center delivering precision medicine with machine learning

Rush University Medical Center, a leading academic health system in Chicago, needed a modern data platform to support precision medicine and faster insights across genomic, device, and unstructured clinical data. Existing tools couldn’t handle the growing volume, velocity, and variety of data, slowing analytics and limiting the organization’s ability to be fully data-driven.

Partnering with Cloudera and MetiStream on Microsoft Azure, Rush built a scalable platform that unifies data sources, applies NLP to clinical notes, and delivers machine learning and analytics-as-a-service to clinicians and administrators. The solution ingested years of clinical notes in 36 hours, doubled model accuracy, provides 200 KPIs daily, enables near-real-time analysis, and positions Rush to operationalize precision medicine and integrate insights into clinical workflows.

Rush University Medical Center

Bala Hota

Chief Analytics Officer