Electronic health record data could hold the key to predicting the onset of sepsis, an immune system response to infection that kills more than 258,000 Americans annually.

Delayed diagnosis and treatment of sepsis have made it one of the most deadly and costly medical conditions confronting U.S. hospitals, with more than 1 million cases each year. However, researchers at North Carolina State University are working to overcome these challenges by integrating EHR data and clinical expertise in major hospital systems to provide an evidence-based framework to diagnose and accurately risk-stratify patients.

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