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Dr. Hayes reviews lab results with a patient in a clinic exam room

Risk Adjustment Accuracy

Capture risk accurately and prepare for audit.

AI agents prepare recapture and new suspect reviews with cited records. Clinicians decide in the EHR. Coders approve before submission.

How it works

From a suspected condition to a documented diagnosis.

The same four steps as every Fold workflow. Here the signal is a condition not yet documented this year.

  1. 1Signals in
    Claims · JanE11.22 coded last year, not yet this year
    EHR · JunEcho: ejection fraction 35%
    Labs · Jul, OcteGFR 54 and 52, 113 days apart
    Pharmacy · OctFurosemide filled monthly
  2. 2One patient context
    MEMargaret Ellison, 74Medicare Advantage · visit Wednesday
    Visit with Dr. Hayes Wednesday2 suspected conditionsLast full exam in MarchLives alone
    Not documented this yearVisit in 2 days
  3. 3Next best action
    Review two suspected conditions before Wednesday’s visit
    AI agent pulled the supporting lines
    AI agent checked each against MEAT
    AI agent drafted the pre-visit summary
    Ready for Dr. Hayes · Wed
    RHDr. R. HayesOwner · makes the call
  4. 4Owner signs off, result tracked
    Heart failure confirmed in today’s note
    Kidney disease documented with eGFR
    Angela Brooks, CRC reviewed the codes
    Evidence kept for audit
    Source, decision and date kept with each diagnosis

Before the visit Prospective review

Review last year's conditions
and new suspects before the visit.

AI agents cite the source behind each item. Jordan Reyes, RN checks the list before Dr. R. Hayes sees Margaret Ellison.

One visit, two kinds of review

At the visit Concurrent review

Inside the EHR, clinicians see
what the note still needs.

AI agents check each suggested diagnosis against MEAT and show the supporting line or the gap. Dr. R. Hayes decides, documents and signs.

MEAT check inside the EHR

Suggestions stay separate from the signed note. Not every MEAT element is required.

After the visit Retrospective review

Your coders approve every change
before anything is submitted.

Your coders check each proposed change against the source note, then approve, query or hold. Every decision is logged.

Angela Brooks, CRC · review queue

A coder reviews charts at her desk by a window

At audit RADV readiness

Have the record ready before CMS asks for it.

Fold records the source, decision, owner and date behind each HCC as work happens. When CMS picks a member, export the records instead of rebuilding them.

One HCC, with its record for RADV

Sources in one record.
EHR notes, claims, labs and pharmacy data stay linked to the member.
AI agents check at scale.
They test each submitted HCC against the record and send weak support to a coder.
Work by role.
Clinicians, CDI nurses, coders and compliance each see their own queue.
Coding beside the chart.
Clinicians answer suggestions in the EHR they already use.
APIs for write-back.
Suggested diagnoses reach your EHR or coding system through APIs.

Why now

What CMS changed
for Medicare Advantage.

A diagnosis counts only when the signed note supports it.

  1. V28

    CMS finished the V28 phase-in for payment year 2026. Stage and specificity can change the HCC, such as CKD 3a versus 3b.

    CMS 2026 rate announcement
  2. RADV

    CMS says new RADV audits will cover every eligible Medicare Advantage contract, each payment year.

    CMS audit announcement, May 2025
  3. PY2027

    Diagnoses from unlinked chart reviews no longer count toward 2027 risk scores. A narrow exception covers members who were in a plan under a different parent organization the year before.

    CMS 2027 rate announcement

Questions from coding
and compliance teams.

Do AI agents assign codes?

No. They suggest codes with cited evidence. Clinicians document and sign, and your certified coders assign the final codes from the signed note.

Will we have to rebuild the record for a RADV audit?

No. Fold records the source, decision, owner and date behind each HCC as work happens. When CMS picks a member, you export the records instead of rebuilding them.

How does Fold handle V28?

Suggestions map to V28 HCCs using the stage and specificity the evidence supports, such as CKD 3a versus 3b. Each one records the model and payment year.

Can Fold queries steer clinicians toward a diagnosis?

No. Queries cite clinical indicators and ask the clinician to clarify, without suggesting an answer. Your CDI and compliance teams approve the templates and monitor their use. Signed records change only through your amendment process.

Do clinicians have to leave the EHR?

No, where your EHR connection supports it. Fold opens in a panel beside the chart. Before go-live we confirm what your EHR accepts back, such as the note, problem list or claim.

Can our own AI agents use this?

Yes. Through APIs and events, they get the same evidence and decisions, under the same rules and audit log. People still decide.

See accurate risk adjustment in your own workflow.

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