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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

Scaling trusted, high-impact AI care navigation

Navigating healthcare is exhausting. Patients struggle to book appointments, obtain referrals, move between providers, and manage insurance. These barriers delay care, worsen outcomes, and deepen inequities, while the same fragmentation creates inefficiencies, lower retention, poor satisfaction scores, avoidable readmissions, and rising costs for health systems and payors.

At the same time, advances in AI now make it possible to guide patients through these systems more seamlessly and personally than ever before. Yet adoption is slowed by uneven quality, unclear benefit–risk tradeoffs, and limited real-world evidence of the ROI.

DiMe is bringing leaders in the field together to scale trustworthy, AI-enabled care navigation to transform patient care journeys while delivering measurable returns for the industry, including health systems, payors, and innovators.

By joining this project, you’ll shape the evidence base for AI navigation, defining how trust, safety, equity, and ROI are built into deployment from day one.

Health systems: Reduce costs, improve retention and satisfaction, lower readmissions.

Payors: Lower total cost of care, reduce member abrasion, and enable timely activation of resources.

Technology innovators & startups: Showcase ROI, accelerate adoption, and connect directly with buyers.

Large AI platforms & infrastructure providers: Gain brand visibility and credibility as the trusted partner for healthcare developers.

For innovators, the risk is being left behind. For providers and payors, the opportunity is to lead the way. Join us to build the first credible evidence base for AI in healthcare, de-risk adoption, and shape the solutions of our future. Join us.

Join our next project

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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