Example processhealthcareHIPAA

Medical coding and RCM automation software

An example of medical coding and RCM as a governed process: agents do the 7 steps, and a person signs the gate before anything irreversible happens. Download it, import it into your workspace, and adapt it to your systems.

Download example · JSONImport into Minctrl →

minctrl.process/v1 · hash d50d0aaf1b8e…594e

The graph7 agent steps1 human gatesigns: Revenue-cycle lead (CPC/CCS coder signs)

Medical-coding autopilot

Manual medical coding is slow, expensive, and error-prone; miscoding drives denials and False-Claims-Act exposure. Clean claims submitted straight-through; risky claims escalated to a certified coder; denials and overpayments handled.

The governed flow · branches, parallel work & a human on the irreversible step
edits fail / needs recodeclean & above confidence floorbelow floor / FCA-high patterncoder approvescoder rejects — re-codedenied / overpaid — rework
Start
agent · low risk
Pull the clinical note from the EHR
agent · low risk
Assign ICD-10 / CPT codes with the supporting note span (rework target for failed scrubs, coder rejects and denials)
parallel · fan-out / join
Run compliance scrubs in parallel
agent · low risk
Run NCCI / MUE bundling and unit edits against the code set
agent · medium risk
Check medical-necessity / payer rules and run the upcoding guardrail, scoring FCA risk and coder confidence
parallel · fan-out / join
Join the scrub results
decision
Scrub clean, above confidence floor, and no FCA-high pattern?
agent · low risk
Clean claim: reconcile codes against the payer fee schedule and stage the 837 for release — a reversible, in-policy hold
gate · human sign-off
A certified coder signs off below the confidence floor or on any FCA-high pattern, batch-approves the clean queue, or sends it back to be re-codedsigns: CPC / CCS certified coder
agent · high riskirreversible
Build and submit the 837 claim
agent · low risk
Track denials and refund overpayments (60-day rule)
decision
Paid clean, or denied / overpaid and needs rework?
Done
low riskmedium riskhigh riskbranch / reworkgate · human sign-off
What it is modelled on

A submitted claim is an attestation to a payer with False Claims Act exposure, so a certified coder signs off on ambiguous or high-value coding before the claim is released.

RuleWhat it requires
HIPAA Privacy, Security & TransactionsPHI must be minimum-necessary, access-controlled and audit-logged, and claims ride the HIPAA-standard X12 transactions (e.g. 837 claim, 835 remittance).
ICD-10-CM/PCS & CPT/HCPCS coding accuracyDiagnoses and procedures must be coded per official ICD-10 and CPT/HCPCS guidelines and supported by the clinical documentation; the code drives the claim and the reimbursement.
False Claims Act / no upcodingSubmitting a claim to a federal payer that isn't supported by documentation (upcoding or unbundling) creates False Claims Act exposure, so coding accuracy is a compliance matter, not just a revenue one.

A summary for orientation, not legal advice.

Use this example
01

Download the file

A minctrl.process/v1 document: the graph and the hash of the process it becomes.

02

Import it in Processes

Import into Minctrl opens this example in your workspace; one click stores it as your first version. Import JSON does the same with the file, and a file changed after download is refused.

03

Connect your systems

Every connector starts in shadow: steps run, nothing leaves Minctrl until you configure a connector and switch it live.

04

Adapt it

Change signers, time limits and steps on the canvas. Each save is a new version; a running case stays on the version it started with.

Questions
How does the medical-coding and RCM example handle HIPAA requirements?

The example models the controls a HIPAA-covered process needs: PHI is passed minimum-necessary, every access is logged, claims use the X12 837 and 835 transactions, and a coder signs each submission. Whether your deployment is HIPAA-compliant depends on your BAA, your policies and your configuration. Minctrl holds no certification, and this is not legal advice.

How does the AI avoid upcoding and False Claims Act exposure?

The AI agent suggests ICD-10 and CPT/HCPCS codes and checks them against the clinical documentation and payer edits, but ambiguous or high-value coding parks at a certified-coder sign-off gate. A submitted claim is an attestation to the payer, so a human owns the codes that carry compliance risk.

How does the example let an auditor reconstruct how a claim was coded?

The example models the trail: runs are deterministic and replayable, and each claim carries the documentation it was built from, the codes applied, the coder who signed off and an audit hash. What a payer audit or internal review requires of you is set by your contracts and policies. Minctrl holds no certification, and this is not legal advice.

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