# Medical coding audit

> Medical coding audit: Codes supported by the notes Checked: cross-checked. Produces audit findings, corrections.

Source: https://www.sumarity.ai/library/medical-coding-audit/

Healthcare 

# Medical coding audit

Reads coded claims, clinical notes. Produces audit findings, corrections. Code works out every figure, the Judgement Engine answers the narrow questions, and whatever stays uncertain goes to a person.

Cross-checkedScreening, audit and compliance
Start from this workflowMore for healthcare  

What it decides

## Narrow questions, each with a check behind it.

Codes supported by the notes
Cross-checked. A second source has to agree: a register, a contract, a list. When it does the judgement settles; when it doesn't, a person decides.

| Reads | Coded claims, clinical notes 
| Produces | Audit findings, corrections 
| Who signs | A person on your team, with every figure traced to its document and every call on record 
| Process | Screening, audit and compliance 
| Industry | Healthcare    

See it run

## Every line, decided where it's safest.

An example run. Each stage lights up as a line is decided there; pick a stage to see its lines.

ReadsCoded claims, clinical notesCodeReads, matches, ties out and works out every figure.JudgementCodes supported by the notes. Settles only when it clears the cutoff and a second source agrees.A personGets whatever stays uncertain, with the evidence. Their ruling tunes the next run.ProducesAudit findings, corrections  
Medical coding audit · example run Example run  

| Ref | Item | Value | Decided by  
| ENC-21 | 99214 office visitNotes support moderate complexity · 0.92 |  | Engine · cross-checked 
| ENC-22 | 99215 office visitNotes support moderate, not high |  | To a person 
| ENC-23 | Modifier 25Separate service documented · 0.90 |  | Engine · cross-checked 
| ENC-24 | ICD-10 E11.9Diagnosis in the notes |  | Code · supported 
| ENC-25 | Missing signatureNote unsigned |  | Code · flagged  
|  

Settled 4 To a person 1 Settled wrong 0      Illustrative lines. Amber rows are the Judgement Engine's calls; each settles only above its cutoff and when its check agrees.    

What it could save

## Your volumes in. Your hours out.

In our tests, between 24% and 42% of items still went to a person after tuning. Set your own share; a pilot measures it on your data.

Items per run 
Runs per month 
Minutes per item by hand 
Cost per hour

Share of items that still need a person: 30%  

By hand today80 ha month 
With Sumarity24 ha month, for the items people decide 
Saved56 hCHF 53,760 a year    

Related

## Start from what's closest.

### Screening, audit and compliance in other work

Finance

### Supplier bank-detail change verification

Whether a change request is genuine

Cross-checkedFinance

### Expense claim audit

Whether each claim fits policy; receipt matches the claim

Proven by codeBanking

### Sanctions screening alert review

True match or false positive

Vetoed by code

### More for healthcare

### Remittance posting and payer reconciliation (835s)

Which claims a remittance pays; adjustments

Proven by code

### Claim denial management and appeals

Denial reason, appealable, evidence

Checked by the outcome

### Prior authorisation

Criteria met from the record

Cross-checked  

Questions

## What buyers ask

What happens when Sumarity isn't sure?

Nothing settles below the cutoff, or when the check disagrees. The item goes to a person in the inbox with what the engine saw, its best answer and the runner-up. The person's ruling is kept and tunes the next run.

How are its judgements checked?

A second source has to agree: a register, a contract, a list. When it does the judgement settles; when it doesn't, a person decides.

Can we change it to fit how we work?

Yes. Start from this workflow and describe your differences in plain words. The design assistant revises it, the validator checks it, your expert reviews it on the canvas, and your admin publishes it.

Does it read our files as they are?

Yes: spreadsheets and CSV in any layout, PDFs, bank formats and e-mail attachments. Sumarity suggests how each column maps, proves the mapping on a sample and remembers it once a person confirms it.

Where does our data go?

Sumarity runs in Zurich. Your data, backups and logs are stored in Switzerland.

How does it get better?

Your team's rulings become an answer key. Better questions and cutoffs are proposed, tested on data they haven't seen, and published only when your admin approves. It improves itself, with permission.

## Start from this workflow. Run it on your data.

A pilot runs alongside your own process for a few weeks, at our cost, and ends in a line-by-line comparison.

Talk to usBack to the library
