| The skinny
This month, Bayesian Health became the first company to receive FDA clearance for an AI-powered continuous monitoring system for sepsis. “Many people mistakenly see FDA clearance as the ceiling, when I think it’s only the floor. It’s the starting point,” Saria explained. “If you can’t change clinician action, then you’re not going to drive outcomes — and changing outcomes is the real goal.” Clearance helps establish trust by showing a tool works in diverse settings, but she thinks successful clinical AI adoption ultimately depends on factors like workflow integration, usability, transparency and measurable outcome improvements. This is the beginning
Saria noted that Bayesian spent years working with the FDA to establish reliable definitions for sepsis, validate its model’s performance across diverse hospital settings and patient populations, evaluate risks like missed cases and alert fatigue, and create post-market monitoring plans. In her eyes, healthcare AI needs far more rigor than most tools currently receive. She said any AI tool that affects patient care should face this level of scrutiny. “Many people mistakenly see FDA clearance as the ceiling, when I think it's only the floor. It's the starting point,” Saria explained. “If you can't change clinician action, then you're not going to drive outcomes — and changing clinician action is far more than FDA clearance, right?” Clearance helps establish trust, but she thinks successful clinical AI adoption ultimately depends on factors like workflow integration, usability, transparency and measurable outcome improvements. A user’s testimony
Since adopting the tool, Southern California-based MemorialCare is catching more sepsis patients earlier, with “more than double the sensitivity of what we were using previously,” said Dr. James Leo, chief medical officer of MemorialCare’s Physician Society. He also pointed out that clinicians are working with significantly fewer electronic alerts, which he thinks is helping restore their trust in these types of AI tools. In his view, that reduction in alert fatigue has contributed to the platform’s high engagement rates among providers. “When providers engage with the Bayesian flag, we're seeing a 3.6% absolute mortality reduction, and time to antibiotics is cut in half when they engage within the first hour. With 90% adoption in our ED, our clinicians believe in it too — and that's why we're confident in taking this system-wide,” Dr. Leo declared. — By Katie Adams |
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