Red Hat Enables Improved Patient Outcomes with Early Detection of Sepsis

Discover How Edge Computing Supports Point of Care Diagnostics in Healthcare

To diagnose life-threatening conditions like sepsis in time to save lives, clinicians need to evaluate a large volume and variety of data in real time. Red Hat provides the technologies data scientists need to develop, train, test, and deploy machine learning applications that can detect sepsis and other diseases faster. See how machine learning models—built with Red Hat solutions—supports real-time point of care diagnostics that can save the lives of patients with sepsis.

Download the HCA Healthcare case study to learn how Red Hat can help healthcare organizations:

• Develop machine learning models for sepsis detection
• Deploy models in the cloud or on-premises
• Improve sepsis detection and intervention

Fill out the form to learn how Red Hat is supporting improved healthcare outcomes by analyzing data at the point of care.