Capsa Coding
Capsa Charge Capture · for coding & revenue-cycle leadership

AI medical coding,
built on your data.

Capsa reads the same note your coder reads and bills every service the chart supports — tuned to your providers' documentation, your payers' rules, and your team's coding patterns. 93–96% accuracy, every code traceable to the chart.

“If your coders can code it, the AI can too.” Every code cited to verbatim chart text
Visit · well-child, 4 mo acct 5000004
Capsa recommends · evidence attached
90460
VAC-ADM-001
“…admin with counseling by physician; first component…”
billed
90686
VAC-PROD-014
“…Influenza, quadrivalent, 0.5 mL IM administered today…”
billed
96110
HS-DEV-001
“…ASQ-3 developmental screen completed, score recorded…”
caught
precision 96.9%recall 95.5% +1 missed charge recovered
93–96%
Coding accuracy vs. what your coders billed
100%
Codes cited to verbatim chart text
35% → 94%
New skill: cold-start to matured
7
Coding categories on one framework
The problem

Published coding guidelines are only half the job.

After a provider signs a note, a coder must bill every service performed — vaccines, screenings, vision and hearing checks. Easy to miss, inconsistent between coders, hard to audit later.

Missed codes

Lost, fully compliant revenue — gone for good

Billable work the coder didn't capture is money you earned and won't see. At scale, a few missed codes per visit is a seven-figure annual leak.

Over-coded claims

Audit risk and clawback exposure

Codes billed without support in the chart invite denials and recoupment. The goal isn't “more billing” — it's the right amount, provably.

TakeawayBoth failure modes are expensive — and context is everything.
The realization

Good coders quietly tune their work to each hospital.

Hand the same signed note to coders at two different hospitals and you can get two different — equally correct — claims. The difference is local context.

One encounter

Same note.
Same services performed.

Coded differently depending on where it happened — because three things change per site.

Documentation habits

Which phrases this site's providers actually use to record the work.

Local payer rules

Contract and visit conditions specific to this hospital's payers.

Coding patterns

How this team has historically coded similar encounters.

TakeawayThe real-world coding context lives in the hospital — not in the published guideline.
The trap to avoid

A stranger's AI prompts can't code for your hospital.

Most “AI coding” is a fixed set of prompts written by an engineer somewhere else and dropped into your hospital — never adapted to it. Capsa is the opposite: it's built on your data.

Generic, off-the-shelf AI

A static prompt set, identical for every customer — blind to everything that makes coding work at your site:

  • Your providers' documentation phrasing
  • Your payers' contract and visit rules
  • Your team's established coding patterns
  • Your own paid-claims history

Capsa, built on your data

Your own data becomes the system — so it learns exactly the context a stranger's prompts can't see:

  • Your providers' documentation phrasing
  • Your payers' contract and visit rules
  • Your team's established coding patterns
  • Your own paid-claims history
TakeawayStatic prompts can't capture local nuance — so they miss it, every visit.
Our approach

You don't buy AI prompts — you get the pipeline.

Capsa turns your own material into a living coding system: your guidelines, cohorts, coding patterns, and paid claims drive a loop you control.

Built on your data Your guidelines Your patient cohorts Your coding patterns Your paid claims
1

Build

Encode your rules, codes, and worked examples into an explicit, human-readable guideline.

2

Validate

Compare predictions to what your coders actually billed — scope-aware precision and recall.

3

Adjust

Refine rules from real disagreements, applied as traceable, versioned diffs.

4

Monitor

Track accuracy continuously over time as documentation and payers change.

TakeawayA living system you control — not a static product you install once.
The headline result
93–96%

coding accuracy, measured against what your coders actually billed.

“If your human coders can code it, the AI can too.”

Why that's the ceiling At this accuracy, the remaining differences are usually source-data problems or human coding mistakes — not AI errors.

Internal, validated results across two live coding skills (vaccines and health screening), measured on cases your team already coded. Not an external certification.

See it in the product

Every code traces to the exact chart words.

Recommended vs. billed codes, the rule behind each recommendation, and the verbatim chart evidence — then scored against what your coders actually billed. Answer “why this code?” in one click.

capsa · visit traceability
Visit traceability: AI-recommended vs coder-billed codes with match pills and the chart evidence behind each recommendation
Visit traceability. AI-recommended vs. coder-billed codes, with the rule and verbatim evidence behind every recommendation.
capsa · validation
Cohort validation dashboard with scope-aware precision, recall and F1 plus per-CPT and per-rule breakdowns
Validation dashboard. Scope-aware precision & recall, with per-CPT and per-rule breakdowns.
capsa · guidelines
Guidelines explorer: card grid of coding guidelines with rule, code, modifier and example counts and version badges
Guidelines explorer. Every rule and code is visible and yours to edit — versioned, never hidden in a model.

Explore Capsa Charge Capture

No black box

Transparent by design — and yours to govern.

Every code traces to the chart

Code → rule → the verbatim chart text that triggered it, at the exact version that ran. Unsupported quotes are dropped before a coder ever sees them.

Versioned and auditable

Rules, codes, and examples are versioned together with full history and side-by-side diffs. When a payer rule shifts, the change — and every code made under it — is on the record.

No model lock-in

All clinical logic lives in explicit, human-readable rule sets — not weights baked into a model. One engine runs every category, wired to no single EMR or guideline source.

The Capsa Coding suite

One coding engine. A growing family of products.

Capsa Charge Capture is live today and the foundation of everything that follows. The same build-validate-adjust loop extends to the categories below — tell us which matters most and we'll bring you in first.

Available now

Capsa Charge Capture

Surface every billable code the signed note supports, cited to the chart and scored against what coders billed.

Explore & book a pilot
Coming soon

Capsa E&M Coding

Defensible evaluation & management level selection from the documented history, exam, and decision-making.

Join the waitlist
Coming soon

Capsa ED Coding

Emergency-department facility and professional coding with the same evidence-cited, audit-ready approach.

Join the waitlist
Coming soon

Capsa CDI

Clinical documentation integrity that flags gaps before the claim goes out — governed by your CDI team.

Join the waitlist
Book a pilot on your data

See Capsa on cases your team already coded.

We'll build a guideline from your rules, run it against your cohorts and paid claims, and show you scope-aware precision and recall on visits you've already billed. No rip-and-replace.

  • Built on a sample of your own visits
  • Accuracy measured vs. what your coders billed
  • Every recommendation cited to the chart
  • No EMR or vendor lock-in
[email protected] · capsacoding.com

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