Roadmap 2030 launched summer 2026 after eighteen months of multistakeholder work — a portfolio of materials for reengineering early Alzheimer’s detection, diagnosis, and treatment toward primary care.

The community asked us to stay engaged through implementation. We said yes, and the AD Readiness Network is how.

Innovation happens bottom-up, through local experimentation. Scalable system change happens top-down, through policy, payment, and guidelines. These usually run on parallel tracks that never meet — which is why so many successful pilots never scale, and so many mandates never take.

Where they do connect, it is usually after the fact: a site studies what it happened to record, and hopes the findings prove useful to someone. But data collected for billing and documentation encodes the system as it is, not the one being built. So the evidence needed to justify a change is systematically the evidence least likely to exist.

The Readiness Network inverts the sequence. Sites and decision-makers agree in advance on what evidence would change a coverage decision, a guideline, or a care pathway — and the network is designed to produce it. Shared BHE metrics are what make a local finding legible to a national decision-maker, and what tell sites which of their own variations are worth anyone’s attention.

While the Readiness Network is a disease-agnostic concept, we will apply it first to Alzheimer’s to “feed two birds with one scone”:  accelerate impact from Roadmap 2030 implementation while also advancing elements of the Readiness Network from its real-world application.