AI in Healthcare: Strategy & Analytics | Lightbeam Health
- The transformative role of AI and analytics in personalized, value-based healthcare is being driven by data and technological advancements, according to Andy Dé, chief marketing officer at Lightbeam...
- Dé emphasized the rise of agentic AI and automation in workflows, which improves care coordination, risk stratification, and outcomes, particularly in population health management.
- The integration of AI presents both opportunities and risks, ranging from improved healing and operational efficiency to ethical concerns and potential misuse, Dé said.
Discover how AI is revolutionizing personalized healthcare. Lightbeam Health Solutions’ CMO, Andy Dé, reveals the critical role of AI and analytics in transforming value-based care. learn about advancements in agentic AI that are improving care coordination and risk stratification, reshaping healthcare models worldwide. This piece also shines a light on the convergence of cutting-edge technologies like robotics and virtual reality with AI.News Directory 3’s insights highlight how these developments are creating both opportunities and ethical considerations.Ethical concerns and the potential for misuse are also examined. Explore the evolution from descriptive too predictive analytics revolutionizing the field. stay informed as we explore the future of care delivery. Discover what’s next …
AI transforms Personalized Healthcare, Says Lightbeam Health Solutions Exec
Updated June 22, 2025
The transformative role of AI and analytics in personalized, value-based healthcare is being driven by data and technological advancements, according to Andy Dé, chief marketing officer at Lightbeam Health Solutions. Dé, drawing from experience across pharma, medtech, diagnostics, and provider networks, highlighted the evolution from descriptive to predictive and prescriptive analytics.
Dé emphasized the rise of agentic AI and automation in workflows, which improves care coordination, risk stratification, and outcomes, particularly in population health management. He also noted the convergence of emerging technologies like robotics, virtual reality, and machine vision with AI in global healthcare settings.
The integration of AI presents both opportunities and risks, ranging from improved healing and operational efficiency to ethical concerns and potential misuse, Dé said.
What’s next
The healthcare industry can expect to see continued advancements in agentic AI, further transforming care delivery and reshaping traditional healthcare models. However, addressing ethical considerations and mitigating potential risks will be crucial for responsible implementation.