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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.
Building Health System AI Governance
AI as an Aid and Expectations of a Vendor
Adopting Clinical Tech in a Unified Way
Leveraging AI for Smarter Healthcare
Defining Innovation in a Health System
Advancing Clinician Well-Being with AI
AI Governance, Regulations and Risk
How Will AI Progress in Healthcare?
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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