For risk bearers
Patient intelligence
Per-patient clarity for the organizations that bear risk
The challenge
Risk lives one patient at a time.
The organizations that bear risk are managed on population averages, but the averages are made of individual patients: the one heading for a preventable admission, the one whose conditions were documented last year and never recaptured, the one seeing four specialists your EHR knows nothing about.
Electronic health records stop at your own walls. Claims see everywhere the patient actually went.
The Ariv approach
Every number, down to the patient that produced it.
Ariv assembles each patient's complete claims history under the identity and final-action disciplines this data demands, so the dossier reflects what actually happened, not what a raw file says. Teams have retired legacy BI stacks against it after line-by-line parity checks, because the numbers hold.
How it works
Ingest
Ingest the claims
Monthly claim files parsed, versioned, and resolved to current patient identities.
Assemble
Assemble the dossier
Every attributed life built into a 360 view spanning care settings, providers, and years.
Work
Work the gaps
Recapture opportunities with their evidence, in a worktable your team clears week by week.
What you get
Four modules, one consistent view.
Patient 360 dossiers
The full claims history of every attributed life, assembled into one readable dossier, including the care your EHR never saw.
Risk recapture worktable
Conditions documented in the claims record but not yet coded this year, surfaced as a worklist your risk team can act on.
Evidence chains
Every suggested code traces to the specific claims that support it, so clinical review starts from proof, not from a score.
Population rollups
From one patient to the whole attributed book without changing tools, on the same numbers.