Solutions / AI Powered Healthcare Solutions / AI Medical Coding Assistant
AI Powered Healthcare Solutions
Coding support that keeps a coder in the loop
Speeds up coding turnaround while a certified coder remains accountable for every code submitted. The assistant reads the documentation and proposes. A person decides.
Core capabilities
What it does
Code suggestion from documentation
Reads the clinical note and proposes CPT, ICD-10 and HCPCS codes with the supporting text identified.
Documentation gap flagging
Where the note does not support the level of service performed, that is raised while it can still be addressed.
Modifier checking
Modifier requirements flagged for the specific procedure pairing and payer, which is where specialty knowledge normally lives.
Bundling and NCCI edits
Code pairings checked against current edits before submission rather than after a rejection.
Specialty rule awareness
Rules applied for your specialty rather than a general medical default that loses money on your particular procedures.
Under-coding detection
Where the documentation supports more than what was selected, that is flagged too. This is the one nobody catches by hand.
How it works
The workflow
Documentation is read
The note is analyzed against coding rules and the payer policies that apply to it.
Codes are proposed
With the supporting documentation identified, so the coder can verify rather than start from scratch.
A certified coder reviews
Every single time. The coder confirms, adjusts or rejects what was proposed.
Submitted after human approval
Nothing goes to a payer on the assistant’s say so. The coder’s decision is what gets billed.
What changes
Why this helps
Coding is where practices lose money in both directions, and only one of those directions ever shows up as a denial.
Under-coding gets caught
Conservative coding never appears as a denial. It appears as collections that are quietly lower than they should be, forever.
Faster turnaround
Coding stops being the bottleneck between the encounter and the claim, which is what supports 24 to 48 hour submission.
Consistency across coders
The same rules applied the same way, so quality does not depend on who happened to pick up the chart.
Human oversight
Where the person comes in
This is the agent where we are most conservative, because coding carries compliance risk that lands on your practice rather than ours. A certified coder reviews every code before submission. The assistant never finalizes a code, and it never submits anything.
That boundary is deliberate and we hold it across every agent we run. AI prepares and flags. A trained person reviews and decides, and is accountable for the result.
- A certified coder reviews every code, without exception
- The assistant proposes, it never finalizes
- Supporting documentation is shown with every suggestion
- The coder remains accountable for what is submitted
Questions
Answers, straight
Does the AI decide our codes?
No. It proposes codes with the supporting documentation, and a certified coder confirms, adjusts or rejects every one before anything is submitted.
What about compliance risk?
That risk is exactly why we will not automate the final decision. A certified coder is accountable for every code, and the documentation supporting each suggestion is shown rather than hidden.
Does it work for our specialty?
Yes. Rules are applied for your specialty rather than a general default, which matters most for modifier and bundling decisions.
Will it catch under-coding?
Yes, and this is often where practices find the most money. Under-coding never triggers a denial, so nothing else catches it.
Practice Claim handles patient financial and clinical data under HIPAA-compliant processes. We do not claim certifications or accreditations the company does not hold.
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