A governed health-system registry linking sanctioned clinical AI deployments to vendor attestations, regulatory records, approved uses, versions, monitoring, and evidence bundles.
Genesis score7.27/10
Make Modelroster real.0/500
500 more votes and Modelroster is authorized for build.
0%500 to authorize
Backing is the vote. When an idea crosses 500, we pull it into the build pipeline and ship it for real — the votes decide what gets built next, not an editor.
The opportunity
Sanctioned fleetInitial inventory scope
1Free regulator endpoint
0Automatic compliance conclusions
The case
Health systems can approve one clinical AI product yet later lose the exact connection among vendor release, deployed instance, workflow, intended use, regulatory record, local approval, and monitoring evidence. Modelroster creates that governed mapping and packages a source-linked snapshot for review. It never infers clearance from a product name, equates a regulator record with local safety or compliance, or treats vendor attestations and signatures as independent proof.
Who pays — and why
Health-system clinical AI governance, compliance, quality, informatics, security, biomedical engineering, and procurement leaders.
What it unlocks
A versioned registry of vendor, product, model, deployment, workflow, purpose, patient population, owner, approval, interface, data, and retirement state
Candidate linkage to regulator device records with human resolution of identity, indication, version, and legal relevance
Structured vendor attestations kept distinct from observed local configuration, monitoring, incidents, overrides, and validation
Signed evidence snapshots whose integrity is verifiable without calling them certification or proof of clinical safety
How Genesis scored it
7.27across seven criteria
8
Productive tension
A bill-of-materials metaphor must preserve clinical and regulatory nuance.
8
Temporal window
Current governance programs create a fresh inventory need.
5
Convergence
Two cross-references and two inbound links provide moderate echo.
Why it scored well
A clear governance buyer, a free regulator endpoint, an adjacent imaging peer, and no multi-modality fleet registry found support the direction.
What's holding it back
Identity matching, changing regulatory records, vendor cooperation, local discovery, clinical validation, and integration effort limit confidence and leverage.
Signals detected4 sources crossed
Signalcompany research carried in Genesis
Signalofficial interface research carried in Genesis
SignalGenesis market scan
Signalregulatory research carried in Genesis
Direction briefmodelroster.md
modelroster.md
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