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Raising Health
Deploying AI Platforms to Identify Sepsis
Jul 21, 2022
A podcast delves into the deployment of Bayesian Health's AI platform in clinical settings, focusing on clinician adoption, patient outcomes, and comparing TREWS with other decision support tools. Topics include the importance of early detection and treatment of sepsis, developing the TRUZ AI model, gaining clinician trust in deploying CDS tools, and the power of AI platforms in healthcare.
27:22
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- TRUCE platform focuses on early sepsis detection to improve patient outcomes.
- TRUCE platform demonstrated high sensitivity levels and reduced antibiotic administration time.
Deep dives
Bayesian Health's TRUCE Platform for Early Sepsis Detection
The introduction of Bayesian Health's TRUCE platform, aimed at early sepsis identification, is imperative due to sepsis being a significant cause of hospital mortalities. The platform focuses on timely detection to enhance patient outcomes, highlighting the critical need for prompt sepsis management. Dr. Suchi Saria's research emphasizes the importance of leveraging existing data effectively to identify potential sepsis cases early, illustrating the substantial lead time benefits observed with TRUCE's deployment.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode