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Published on May 22, 2012
Seton Healthcare Family relies on IBM Content and Predictive Analytics to identify high-risk congestive heart failure (CHF) patients for interventive care to avoid preventable readmissions. Natural language processing enables analysis of both structured (i.e. lab results) and unstructured data (i.e. physician notes, discharge summaries), opening the door to rich clinical and operational insights that were hidden in inaccessible free text files. Seton can now identify trends and patterns in patient care and outcomes, uncovering sometimes obscure correlations or disparities buried in years of medical records; these can dramatically improve diagnosis and treatment.