Integrating AI into patient care workflows helps deliver richer patient insights in real time. Ochsner’s new platform deploys Epic’s machine learning, paired with Microsoft’s cloud Azure, capabilities to analyze clinical data and identify potentially adverse health events more quickly and accurately.
The predictive model helps Ochsner’s Rapid Response Team intervene more proactively and in real-time. During the 90-day pilot, the team successfully reduced adverse events outside of the intensive care unit by 44 percent.
“At Ochsner, patients are at the center of everything we do,” said Laura Wilt, Ochsner system vice president and CIO. “By utilizing Epic’s machine learning platform and Microsoft Azure, we can detect health patterns, learn from these insights and develop a more aggressive treatment plan as a preventative measure. It is about delivering a higher quality of care to change and save more lives.”
Ochsner also plans to implement Epic’s machine learning platform powered by Azure to other clinical specialties. It sees these AI-powered capabilities crucial to the future of patient care delivery and representative of staying competitive in innovative, technology-empowered patient care.
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