Power positive health outcomes in the era of AI

AI advances medical breakthroughs, streamlines administrative processes and improves experiences, while optimizing costs.

HAVAS

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Human-centric AI is reshaping the future of healthcare

Healthcare and life sciences organizations are under more pressure than ever to improve care quality and minimize costs, all without incurring extra risk. Artificial intelligence (AI), generative AI (GenAI) and agentic AI have the potential to transform healthcare by streamlining complex workflows, supporting clinical decision-making and providing real time, data-driven insights that enhance patient, member, clinical and financial outcomes.

Agentic AI: The breakthroughs hospitals and health plans can’t afford to overlook

Hear more on how agentic AI is enhancing healthcare in our webinar.

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We are seeing a lot of promise with generative AI, specifically ambient listening. With the early deployment stages of agentic AI, the first area being targeted is patient education. Using automated messaging and chart summarization, we’re not only optimizing efficiency but optimizing effectiveness as well. ”

Kenny Cole, M.D.

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System Vice President, Clinical Improvement, Ochsner Health System

You’re ready for AI. Is your strategy aligned?

Some 81% of healthcare and life sciences organizations say they have a well-defined GenAI strategy in place. However, only 40% of C-suite executives agree that the GenAI strategy is strongly aligned to the business strategy.

Part of successfully aligning a GenAI strategy is ensuring the workforce is ready and capable of putting it into action. Only 51% have assessed the skills and capabilities needed to plan and execute a GenAI strategy.

Download our latest GenAI research to learn how healthcare and life sciences organizations are strategizing their GenAI efforts.

Spotlight on AI-powered care management

Help care managers detect risks early and personalize patient engagement

Our AI-enabled care management solution integrates GenAI, real-time voice analytics and machine learning to enhance early risk detection and personalize patient engagement.