For RCM audit and coding QA teams
Spend reviewer time on judgment—not searching the chart.
KamiBridge helps qualified reviewers reach the source passage behind a coding or documentation exception. Start with one queue, compare it with your current process, and keep every final decision with your team.
Use the free coding audit evidence checklist · No email requiredThe operating problem
The answer is not useful when the reviewer still has to find the reason.
Controlled evaluation
A ten-day, side-by-side test of one review queue.
01
Choose the queue
Select one repeated review task, one document set and one accountable decision.
02
Record the baseline
Measure current review time, exceptions, rework and the failures that matter most.
03
Run side by side
Return evidence-linked findings without replacing the current production process.
04
Make the decision
Compare coverage, disagreement, reviewer time and operating constraints.
What you receive
Evidence for a go—or no-go decision.
Field-level findings linked to the exact page and passage.
Coverage, exceptions, disagreement examples and failure analysis.
Measured reviewer time against the agreed baseline.
A written production recommendation, including reasons not to proceed.
A good fit
Your team repeatedly reviews the same document or coding exception.
A qualified reviewer remains responsible for the final decision.
You can define a safe sample set and an observable baseline.
Not the right fit
You require autonomous coding or claim submission without review.
You need a production accuracy guarantee before a controlled evaluation.
The workflow has no accountable owner or measurable current process.
Inspect before you book
Use the evidence pack in your own review.
Start with the artifact that matches your question. Each resource uses synthetic information and keeps the production boundary explicit.
Review cost calculator
Model current reviewer effort and define a measurable pilot hypothesis.
Calculate the baselineSynthetic workflow case
See how a finding stays connected to its source and reviewer decision.
Review the caseRunnable GitHub demo
Inspect synthetic input, evidence-linked output, schema, tests, and limits.
Open the repository10-day evaluation plan
Take the scope, baseline, deliverables, and go-or-no-go criteria.
Download the planStart without patient data.
The first review and demonstration use synthetic information. Data flow, access, hosting, retention and human responsibility must be agreed before any real-data evaluation.