Every risk model on the market treats it like it does — cardiac in one silo, renal in another, metabolic in a third. Cardiograph is the first predictive intelligence layer built for the whole syndrome.
One member. Six conditions. Every one of them talking to the others.
The problem
The American Heart Association named cardio-kidney-metabolic syndrome because these conditions accelerate one another. Most population health stacks still score them separately, then hand a care manager six unranked lists and no explanation of why anyone is on them.
The platform
Cardiograph sits between the data you already capture and the interventions you already run. It doesn't replace your EHR, your care management platform, or your outreach engine — it tells them who to act on and why.
Claims, labs, EHR extracts, remote monitoring, in-home assessments, retail screening, social determinants. Cardiograph ingests through an API-first interface and builds each member into a connected clinical graph.
Conditions, medications, labs, encounters, and social factors become traversable relationships. Retrieval blends structural proximity, semantic similarity, and trajectory over time — so the model reads a patient the way a clinician does.
Every score arrives with the path that produced it: the conditions, the trend, the gaps. Care teams get a defensible reason to pick up the phone, and agents can trigger outreach, monitoring, and scheduling from the same signal.
Architecture
A composite score, weighted across three independent retrieval signals — tunable per population, per program, per contract.
A property graph of conditions, comorbidity paths, medications, and care events. Relationship depth and density carry real clinical weight.
Semantic retrieval across narrative and unstructured context, so a member resembles the cohort they actually resemble — not just the one their codes suggest.
Direction and velocity of change. A stable stage-3 patient and a rapidly declining one are not the same risk, and the score reflects it.
Who it's for
Stratify CKM risk across the book, sharpen risk adjustment and Stars-linked outreach, and give care management a prioritized list it can defend.
Surface the multi-organ patients moving between cardiology, nephrology, and endocrinology without anyone owning the whole picture.
Point finite care management capacity at the members whose trajectories are compounding, before the admission.
Bring a defensible risk layer to value-based contracts across a distributed network, without asking practices to change how they document.
Who built it
Cardiograph was built by an operator, not assembled for a raise. It runs today, against a full synthetic cohort that is statistically calibrated to real CKM population distributions — which means you can see the whole thing work in thirty minutes rather than reading about it.
Thirty minutes, no deck. We'll pull up a patient, walk the graph, and show you exactly how the score was produced.