AI and software for healthcare.
Clinical notes turned into ICD-10 code suggestions, each tied to the words that support it, and charts found on request.
- ICD-10 coding assist
- Chart retrieval
- Audit support
Sound familiar?
Where the time goes.
Hospitals, practices, health plans and revenue-cycle teams spend hours turning clinical notes into codes and hunting for the charts that support them. We build language tools that read the chart, suggest ICD-10 codes with the exact words behind each one, and retrieve the right records on request, with a certified coder making every final call.
Coding by hand
Coders read every chart line by line to find the diagnoses behind each code.
Charts in too many places
Records requested for an audit or a payer sit across systems, faxes and PDFs.
Denials for missing evidence
A claim comes back because the chart did not show what the code needed.
Example: a fictional clinical note is read, and three ICD-10 codes are suggested, each quoting the words that support it: E11.9 for type 2 diabetes, I10 for essential hypertension, and Z79.84 for long-term metformin. A coder accepts all three, and a chart request returns four of four records.
Use cases
What we would build for you.
- AI assistants
The evidence board
- The situation
- Risk adjustment audits ask health plans to prove every diagnosis they were paid for, using the chart that supports it. Coders and auditors piece the evidence together like a detective pinning clues to a board.
- What we build
- A reader that matches each submitted diagnosis to the words in the chart that support it, and flags any without support for a certified coder to review.
The moment A diagnosis with no supporting note turns up before the auditor finds it.
- Integrations
The chart tower
- The situation
- When an auditor or a payer asks for records, staff search several systems, faxes and PDFs, and the deadline does not move.
- What we build
- Each request is matched to the right records across your systems and gathered into one package, with anything missing listed.
The moment A 40-chart request assembled in an afternoon, with the two missing charts named.
- Automation
The prior-auth countdown
- The situation
- Prior authorizations stall on a missing note or form, and the patient waits while staff call the payer.
- What we build
- A checklist for each payer and procedure that reads the chart, shows what the request still needs and drafts the submission for staff to send.
The moment The missing office note is flagged on day one, not when the denial arrives.
How it works
How coding and chart work gets faster, safely.
- 01Start with your chartsWe work from a sample of real charts and requests, handled under your privacy rules, to see where the hours go.
- 02Read and suggestLanguage tools read the notes and suggest ICD-10 codes, each tied to the words in the chart that support it.
- 03Find the recordsRequests for audits and payers are matched to the right records across your systems, and gathered in one place.
- 04A coder decidesCertified coders review, accept or change every suggestion, and the evidence stays attached for the audit.
Common questions
What people ask us first.
- Does it replace our coders?
- No. It gives them a checked starting point and the evidence behind it. A certified coder makes every final call.
- How is patient data protected?
- We work within your security and privacy requirements, in environments you approve, and agree how data is handled in writing before any work starts.
- Will it work with our EHR?
- Most EHRs and document systems offer a way to read records. We confirm what yours allows during discovery.
How we work
Tell us what is slowing your team down.
A free discovery call, then a written recommendation with one agreed price. A deposit to start, and the rest when it does the job.