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Healthcare 2030: DiMe’s Blueprint to Transform Healthcare

NEW RESOURCE: Advancing a Sustainable Hospital-at-Home Ecosystem at Scale

Get involved in an upcoming DiMe project

DIME PROJECT

Implementing AI in Healthcare

SECTION 1 | IDENTIFY THE PROBLEM

Health AI Implementation Survey

This survey is your first step toward implementing AI in healthcare. Designed to engage clinicians, IT, operations, and leadership, it helps you capture where AI is already in play, where opportunities exist, and what challenges stand in the way. To make it easy to use and adapt, we’ve provided it in multiple formats. Choose what works best for your organization.

Next steps

The ultimate goal of Section 1 is to take the Health AI Readiness Assessment. In addition to the survey above, there are two additional resources to prepare you for the assessment: 

Define your problem

Not every challenge is an AI problem. The Problems that Matter Exercise helps you identify the operational and clinical pain points where AI can realistically drive efficiency, improve quality, or reduce costs—clarifying your top priorities.

Explore AI Maturity Levels

The Health AI Maturity Model helps your organization benchmark preparedness, prioritize investments, and align capabilities for responsible and scalable AI adoption.

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Help streamline the path to regulatory and commercial success to optimize health outcomes for the greatest number of patients

Join the Integrated Evidence Plans project

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