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Automating ML and AI to improve speed, accuracy of predictive models
AI/ML

Automating ML and AI to improve speed, accuracy of predictive models

3:58

(Sponsored) DataRobot describes how advances in auto-machine learning and predictive analytics are enabling healthcare enterprises to be AI-driven.

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4:57

Houston Methodist centers 'smart hospital' around patient needs

Michelle Stansbury, associate chief innovation officer at Houston Methodist, talks about how the hospital has built a more engaging patient experience, from scheduling to interactive bedside technology to post-discharge texting.

Houston Methodist centers 'smart hospital' around patient needs
Michelle Stansbury, associate chief innovation officer at Houston Methodist, talks about how the hospital has built a more engaging patient experience, from scheduling to interactive bedside technology to post-discharge texting.
4:57
8:00

EHR vendors can help providers with AI deployment

Mark Mabus, CMIO and SVP of EHR at Parkview Health, says the organization is leveraging Epic's built-in generative AI capabilities before considering third-party solutions to maximize value and simplify implementation.

EHR vendors can help providers with AI deployment
Mark Mabus, CMIO and SVP of EHR at Parkview Health, says the organization is leveraging Epic's built-in generative AI capabilities before considering third-party solutions to maximize value and simplify implementation.
8:00
6:44

For Duke, AI strategy is business strategy

Eric Poon, Duke University Health System CHIO, says the system has gone from being drawn to trendy AI tools to ensuring that AI investments align with its organizational priorities.

For Duke, AI strategy is business strategy
Eric Poon, Duke University Health System CHIO, says the system has gone from being drawn to trendy AI tools to ensuring that AI investments align with its organizational priorities.
6:44