Pre-release Connecting securely

Test-data environment. Synthetic data only. External claim submission is disabled.

Customer workspace

Morning Brief

Start with prioritized, evidence-bound work, then use practice analytics for context.

Active client Tenant workspace
Evidence intake

Your files, one active workspace

Import related claims and remittances together, or add supporting evidence as your investigation develops.

Where these files belong

Loading company and practice…

Loading active file information…

New practices start empty. Nothing is imported automatically. Import only the approved test files you choose; existing saved datasets are retained between visits.

Representative synthetic patient portfolio · 60 patients · 240 claims

Use customer-like claims, 835 remittance, encounter and later-outcome evidence to analyze longitudinal fictional patients across PREVENT → human decision → CHALLENGE → LEARN.

Company Administrators can load the checksum-verified portfolio directly into the isolated Demo practice. Operators can instead download and import its six data files through the normal customer intake path. The fictional scenario distribution is test coverage, not a payer benchmark, professional adjudication, savings estimate or production evidence.

To add later evidence, drop approved synthetic files above, choose Add to the current dataset, then link relevant supporting documents in the Case Record. Missing and unlinked evidence stays visible.

Review the fictional patient records

    These records all describe the same fictional patient and claim. Loading explicitly associates them in the selected empty practice. This is not real patient intake, payer policy or a reviewer answer key.

    Workspace management

    Administration

    Keep client setup, access evaluation and operational diagnostics separate from claims work. Permissions are enforced by the service.

    Environment validation
    Pre-submission operations

    Prevent avoidable claim failures

    Prioritize claims that have not received a payer response. Review exact claim and encounter facts, resolve evidence gaps, and record an accountable decision before any external action.

    PREVENT cases0
    Awaiting decision0
    Blocking priority0
    Recorded unknowns0

    Prepare the encounter workspace in Analysis to build the PREVENT queue.

    Available in each PREVENT case
    • Exact claim, encounter, service and financial facts
    • Deterministic claims-side readiness checks and visible mapping exceptions
    • Source documents, evidence gaps and ClaimFlair AI investigation
    • Accept, Revise, Defer or Reject with append-only decision history
    Human verification

    Make the accountable decision

    Review pending recommendations across PREVENT, CHALLENGE and LEARN. The evidence version, uncertainty and lifecycle stage travel with every decision.

    Awaiting decision0
    Recorded decisions0
    Deferred0
    Stale workspace items0

    Prepare the encounter workspace in Analysis to build the decision queue.

    Decision controls and safeguards
    • Evidence and recommendation identity shown before review
    • Accept, Revise, Defer and Reject remain server-authorized
    • Changed evidence invalidates the saved workspace until refreshed
    • Decisions are attributable and append-only; no decision submits a claim or activates a rule
    Payer-response operations

    Challenge from recorded facts

    Investigate denied, rejected, paid or partially paid claims only after a payer response is recorded. Keep transaction facts separate from hypotheses and build an internal, unsent packet.

    CHALLENGE cases0
    Awaiting decision0
    Payer reasons recorded0
    Root cause unresolved0

    No CHALLENGE queue has been prepared.

    Available in each CHALLENGE case
    • Matched remittance, adjustment identifiers and source locations
    • Recorded payer facts separated from unverified cause hypotheses
    • Missing evidence, supporting documents and reviewer actions
    • Internal packet, ClaimFlair AI investigation and accountable human decision
    Outcome operations

    Learn from verified later outcomes

    Reconcile later payments and reversals, inspect comparable denominators, and review an inactive prevention proposal. Accepting a decision does not activate a rule or train a model.

    LEARN cases0
    Awaiting decision0
    Later outcomes observed0
    Outcome evidence missing0

    No LEARN queue has been prepared.

    Available in each LEARN case
    • Append-only outcome events and exact-cent reconciliation
    • Practice-scoped comparable cohort, denominator and missingness
    • Inactive prevention proposal with evidence lineage
    • Human review without automatic activation, pooling, training or attributed recovery
    Patient directory

    Find explicitly registered patients in this practice. Imported claims do not automatically establish a patient identity.

    Open the directory to load this practice’s registered patients.

      ClaimFlair AI

      Your claims investigation partner

      Dataset context

      General guidance is available before importing files.

      Ask me about claims denials, evidence to gather, and ways to investigate. Upload files when you want me to analyze a specific claim or dataset.

      Enter to send · Shift+Enter for a new line · Answers combine uploaded evidence with clearly labeled industry guidance.

      Today's work

      Morning brief

      Loading the saved practice work queue…

      Practice
      Not selected
      Role
      Loading access…
      Evidence
      Not prepared
      Work items
      0

      Confirm the practice and prepare its work queue to identify the next accountable action.

      Ready for a controlled review

      Upload one or more approved files to inspect the dataset, cases, and supporting evidence.