Transparency / applied model card

The label on the tin.

Health systems now expect an applied model card before a vendor system touches their patients. Here is ours for the clinical intelligence layer, following the Coalition for Health AI applied model card structure.

Applied model card / clinical intelligence layer CHAI-aligned

Model details

SystemClinical intelligence layer
DeveloperAffinity Networks, Inc.
TypeAgentic system, multiple models
SettingMedicare value-based care
OversightNamed medical director
Validationfigures pending publication

Data & privacy

PHI under signed BAAs Sensitive inputs stay local FHIR R4 observations No undisclosed routing

Update cadence

Evals gate every update Drift monitored in production
// amber fields are pending final validation figures; ask for the current card card v1

Intended use

What it does, and what it must not.

An intended-use statement only means something if the out-of-scope list is just as explicit. Both are enforced in the pipeline, not appended as a disclaimer.

In scope

Care-team support

Surfacing which complex, multi-condition patients need attention, drafting the supporting documentation, and recording why. Output goes to a care team, not to a patient.

In scope

Documentation with provenance

Every surfaced recommendation carries its evidence trail: the observations, the rules, and the model calls behind it, replayable end to end.

Out of scope

Autonomous clinical decisions

The system does not diagnose, prescribe, or act on a patient. AI drafts, clinicians decide. Final clinical judgment always belongs to a licensed clinician.

Out of scope

Unreviewed patient contact

No output reaches a patient without clinician review. The system has no authority to message, schedule, or bill on its own.

Human oversight

Clinicians hold the pen.

H1

Named medical director

Clinical accountability sits with a named medical director, not a product team.

H2

Clinician sign-off

High-stakes outputs require clinician review before they take effect. The sign-off is recorded in the audit trail.

H3

Full replay

Every decision is traceable and replayable for clinical review, audit, or dispute.

Validation & maintenance

Proven the boring way.

The system passes the evaluation gate described in how we evaluate: golden sets built from real care-team work, adversarial runs, and clinician review before any autonomy is granted. Published validation figures are pending and will replace the amber fields above; interim results are available to customers on request. Post-deployment, the eval suite runs continuously, drift is monitored against the golden set, and every model or policy update passes the same gate before it ships.

Read it before you buy it.

We will send the complete card, current validation status, and the evidence behind any line on this page.

Request the current card
clinical: build@theanigroup.com
standard: CHAI applied model card