SCRIMED

Watchtower, TrustQA, and Trust Cards

Every SCRIMED recommendation needs provenance, confidence, validation, and human review.

Watchtower monitors workflows while TrustQA verifies boundary, evidence attribution, confidence, approval checkpoints, and source freshness before outputs leave a sandbox.

TrustQA4
Trust Cards3
Evidence sources5
Approvals4

Signals

What Watchtower is designed to observe.

01workflow quality
02model behavior drift
03latency and cost patterns
04approval and override patterns
05runtime traces
06safety signals

Trust Card System

Recommendations carry confidence, source, version, validation, and review requirements.

synthetic-only

Prior authorization support

Prepare a reviewable prior authorization packet with policy citation and missing-evidence checklist.

Confidence 78%
  • CMS policy awareness plus buyer policy repository when configured.
  • Policy-specific; tenant validation required.
  • RCM or payer operations reviewer approval required before any payer-facing action.
  • Last updated: 2026-06-02T00:00:00.000Z
needs-review

Ambient documentation review

Generate draft-only documentation review prompts with source trace and clinician review requirement.

Confidence 74%
  • Tenant-approved clinical and documentation policies when configured.
  • Tenant-approved guideline version required.
  • Licensed clinician review required before note finalization or EHR filing.
  • Last updated: 2026-06-02T00:00:00.000Z
needs-review

ACCESS-aligned monitoring assessment

Assess chronic-care, telehealth, wearable, and outcome-reporting readiness without reimbursement claims.

Confidence 68%
  • CMS model awareness, interoperability standards, and buyer policy repository.
  • CMS public model page plus tenant policy version.
  • Clinical, compliance, finance, and executive review required before reimbursement program use.
  • Last updated: 2026-06-02T00:00:00.000Z

TrustQA verification layer

Unsafe or weakly evidenced outputs are held before release.

active

Boundary verification

Confirm an output stays within synthetic pilot or enterprise assessment scope.

  • Block release and create governance review item.
active

Evidence attribution

Require cited source, source type, version, validation timestamp, and confidence score.

  • Return to planner with evidence-gap status.
active

Human approval checkpoint

Confirm reviewer role and checkpoint before external, clinical, payer, or patient-facing use.

  • Hold in review queue.
planned

Prompt-injection and unsafe-tool review

Detect attempts to override boundary, hidden instructions, connector limits, or approval policy.

  • Quarantine task and record security event.

Atlas Evidence Layer

Sources require owner, version, validation timestamp, and usage boundary.

policy

CMS Interoperability and Prior Authorization Final Rule

Centers for Medicare & Medicaid Services. Version: CMS-0057-F

cms-interoperability-prior-auth-2024
  • Used for interoperability and prior authorization operating-context awareness, not payer submission authority.
  • Validated: 2026-06-02T00:00:00.000Z
policy

CMS ACCESS Model

Centers for Medicare & Medicaid Services Innovation Center. Version: CMS Innovation Center public model page

cms-access-model
  • Used for reimbursement-layer posture and outcome-reporting awareness, not reimbursement guarantees.
  • Validated: 2026-06-02T00:00:00.000Z
standard

HL7 FHIR Standard

HL7 International. Version: FHIR standard reference

hl7-fhir-standard
  • Used for interoperability planning and connector contract design.
  • Validated: 2026-06-02T00:00:00.000Z
buyer-source

Buyer Policy and Protocol Repository

Enterprise buyer governance owner. Version: Tenant-managed

buyer-policy-repository
  • Requires tenant source ownership, version metadata, and TrustQA validation before use.
  • Validated: 2026-06-02T00:00:00.000Z
guideline

Approved Clinical Guideline Repository

Clinical governance owner. Version: Tenant-approved

clinical-guideline-repository
  • Guideline-backed outputs remain review-only and require licensed clinician review.
  • Validated: 2026-06-02T00:00:00.000Z

Healthcare AI needs continuous monitoring after deployment, not only pre-launch evaluation.

Every workflow should expose the signals needed to explain performance, safety, and operational cost.

Trust infrastructure should be built alongside product modules, not patched in after scale.