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FAMIA Leadership Lounge with Brian Dixon: Exploring Public Health Informatics Workforce Roles Using National Datasets

Type
Webinar
Public health informatics plays a critical role in improving population health, yet the workforce supporting these efforts continues to evolve. Join Brian Dixon, PhD, MPA, FACMI, FAMIA, for a discussion on how national workforce datasets can be used to better understand career pathways, workforce trends, and opportunities within public health [...]
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Is your health system ready to scale AI?

Type
Webinar
Is your health system ready to scale AI? Healthcare organizations are investing heavily in AI, yet many struggle to move beyond pilots and achieve measurable enterprise value. This webinar provides an inside look at the Vizient/Kaufman Hall AI Maturity Assessment and the capabilities health systems need to scale AI responsibly [...]
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Learning Public Health System: What Does It Take?

Type
Webinar
This timely session will explore how public health can evolve into a Learning Public Health System by integrating continuous learning, data-driven decision-making, and modern governance into local and state health departments. Participants will gain insights into the evolution of public health models, the foundational components of learning public health systems—including [...]
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Toward Virtual Patient: AI for Accelerating Medical Discovery

Type
Webinar
Today, medical discovery advances one clinical trial at a time, each taking years to execute and often costing $100 million or more. As we enter the era of precision health in which we recognize that “one size doesn't fit all” and thus try to tailor treatments for each individual, continuing [...]
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Building a Digital Health Workforce: Embedding AI Competencies into Graduate, Professional, and In-Career Learning

Type
Webinar
The sustainable and responsible integration of artificial intelligence (AI)into healthcare requires not only advanced technology but also a workforce equipped to develop, deploy, and oversee these tools. While considerable attention ha been devoted to pilot projects and implementation pathways for AI systems, a significant gap remains in preparing clinicians, researchers [...]
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