There are many strategic initiatives that are driving the need for artificial intelligence (AI) solutions in healthcare. Whether transitioning to value-based care, implementing shared decision-making, improving patient engagement, or analyzing data for health equity, it’s important for healthcare organizations to choose a vendor that allows the flexibility to target IT investments to accomplish current, and future, innovation needs.
Red Hat has a modular framework that can more easily integrate with AI solutions from multiple vendors, meeting you where you are in your AI adoption journey. Additionally, with the power of open source communities, Red Hat® customers can use reference architectures to accelerate and remove barriers to adoption.
Join us as we review a Red Hat customer’s use case in building a sepsis detection solution that directly contributed to saving over 8,000 lives. We’ll walk through the reference architecture, share a demo, and discuss the value that open source brings to your organization.
In this session, we’ll review:
The value of open source in building event-driven clinical solutions
The role of open source communities in AI
A demo for sepsis detection and prevention using AI/ML
Live event date: Wednesday, September 8, 2021 | 1 p.m. EDT
On-demand event: Available for one year afterward.