ElecareAI reads the encounter and proposes the codes, turning completed visits into clean, claim-ready charges. Billing keeps pace with care instead of lagging weeks behind.
When coding happens long after the visit, claims pile up, details get lost, and revenue slows to the pace of the backlog. Coding at the point of care keeps the practice paid for the work it has already done.
The encounter, note, and findings are already in ElecareAI, so the raw material for coding is there the moment the visit ends.
ElecareAI reads the encounter and suggests the ICD-10, CPT, and HCPCS codes it fits, with the charge laid out for a clean claim.
Review the suggested codes, adjust anything, and the visit is a claim-ready charge. The coding decision stays yours.
ElecareAI suggests; you confirm. Nothing is coded or submitted without a person signing off.
Figures reflect the platform's design targets for medical coding; actual results vary by practice mix and volume. We'll walk through what to expect in a demo.
Designed around how Caribbean practices actually get paid — not a US template bolted on.
Built to work with regional insurance systems — including NHI and NHF — and private Caribbean insurers, so claims speak the language of the practices we serve.
The AI surfaces coding opportunities that quietly slip past a busy practice, so the work you have already done is captured on the claim.
Coding is checked against standards in the background, with a full audit trail, so accuracy and readiness travel with every claim.
Because billing lives inside ElecareAI, the note feeds the codes, the codes become the claim, and every charge stays linked to the encounter and the record, all without moving between systems.
ElecareAI is built to healthcare privacy standards for handling protected health information. Specific compliance details are shared as part of the demo.
Book a walkthrough and watch ElecareAI suggest the codes from a real encounter and turn it into a claim-ready charge, on your confirmation.