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Lessons From the Inside: C-Suite Perspectives on AI
A critical part of navigating the AI landscape is learning from those who have charged a path forward. This ongoing series provides insights from leaders that have successfully implemented clinical AI in large U.S. health systems.
Generative AI for Healthcare: Ensuring Innovation with Guardrails
Building a Scalable AI Toolbox: The Key to Innovation
Bridging AI Innovation: How Technical and Clinical Teams Collaborate
What Makes AI a Game-Changer in Healthcare Technology
AI Governance: What It Means for Hospital Leaders, Physicians and Patients
AI Education and the Role of the ACC
Practical Advisement on AI Implementations for ACC Members
The Evolution of AI in Cardiology
Explore more executive perspectives on clinical AI implementation and strategy.
Go Beyond the Algorithm for a Scalable AI Strategy
AI implementation should not be burdensome, but the steps that happen before, during and after implementation will ultimately determine success. Here are the four components of an enterprise AI strategy:
Choose:
Finding the right technology requires a multidisciplinary, collaborative approach focused on measurable value and clear decision-making.
Integrate:
A platform that will adapt to evolving health system needs while solving orchestration, monitoring and integration challenges.
Adopt:
A collaborative vendor that enables impactful change management through training and metrics for value externalization.
Govern:
Standards for implementation to ensure consistency and quality with a regular review of AI performance, opportunities and gaps.
AI Strategy Resources
AI is not one-size-fits-all, nor is it a linear path that starts with technology selection and ends after implementation. These resources can help health systems at every phase of the journey.
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