Bayesian Health
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7 AI Pitfalls That Hospitals Should Avoid
As hospitals across the nation adopt more and more AI technology, there are some common hazards of which they should be wary. During a conference presentation on Tuesday, healthcare AI expert Suchi Saria laid out seven AI pitfalls hospitals should look out for — some of these include being duped by Big Tech companies’ marketing strategies and focusing too much on administrative use cases.
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Artificial Intelligence, Health Tech
Johns Hopkins spinoff building risk prediction tools emerges with $15M
Bayesian Health, a startup created by a machine learning researcher at Johns Hopkins, is building models for sepsis detection, patient deterioration and bedsores. The company recently emerged from stealth mode with backing from Andreessen Horowitz.
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Payer’s Place: Dawn Maroney
Dawn Maroney, President, Markets of Alignment Health and CEO of Alignment Health Plan, to discuss how they are using technology to provide better service and care to consumers.
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Applying Remote Patient Monitoring to Surgery Prep and Recovery, Oncology and Women’s Health
Join us to learn about the latest trends in remote monitoring and how to extend its benefits beyond chronic conditions to more patients – all while using fewer staff resources.
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Payer’s Place: Dr. Anil Singh
Dr. Anil Singh shares his insights into the strategies employed by the organization to identify the most effective digital solutions for their members.
