Improving Sepsis Care With AI

Sepsis requires immediate action to treat, but it can come on rapidly and be difficult to detect in time – and the risk of mortality rises by 4-9% for every hour that treatment is delayed.¹

However, it’s hard for clinicians to act quickly when they’re stuck looking for the data that may indicate sepsis onset. That’s what Goshen Health aimed to solve with the help of rules-based AI. Using AI, they made their data more actionable for clinicians by monitoring for the clinical elements that would indicate sepsis onset and alerting clinical staff in near real-time.

In this episode, Emily Grooms, Manager of Clinical Informatics at Goshen Health shares more about their AI-powered transformation of sepsis care.