For cardiology practices
Run cardiology proactively, from risk scores to reimbursement
Catch progression earlier with validated risk models, organize device-era data, and bill every visit cleanly with AI-assisted coding and day-one allowed amounts.
The problems we hear most
Concrete friction points Crebral was built to remove.
Risk scores are calculated by hand
PREVENT, CHA₂DS₂-VASc, HAS-BLED, and Fracture risk are easy to skip when the EHR does not surface them.
Echo, ECG, and stress data live elsewhere
Cardiac studies are scattered across portals, PDFs, and devices instead of the patient chart.
Coding and reimbursement move slowly
E/M levels, ICD-10, and medical-necessity notes consume hours and delay payment.
How Crebral answers
Built-in capabilities mapped to this practice model.
Cardiology-native record keeping
EF, CAC scores, rhythm, stress results, and cardiology-specific lab panels live in the patient chart.
Nine validated risk models
PREVENT/ASCVD, CHA₂DS₂-VASc, HAS-BLED, Garvan, FIB-4, KFRE, Gail, PhenoAge, and FINDRISC update as labs do.
Full revenue cycle, day-one estimates
Eligibility, AI coding drafts, 837P claim submission, 835 remittance posting, and expected reimbursement before your first remittance.
1,153
safety rules screening every intervention for interactions
9
validated clinical risk models, from PREVENT to PhenoAge
100%
of AI answers cited to graded evidence — nothing from thin air
Day 1
payer reimbursement estimates, before your first remittance
How it works in practice
From intake to follow-up, in four steps.
Ingest the record
Import prior notes, labs, cardiac studies, and demographics from the existing EHR or PDF.
Assess risk and studies
The risk panel and cardiac-study timeline show progression in one view.
Document and code
Typed clinical notes and Sasha CDI coaching suggest E/M levels, ICD-10 codes, and medical-necessity language.
Submit with confidence
Claims leave with a scrub, expected allowed amount, and denial-worklist follow-up.
See Crebral built for cardiology
Get a guided walk-through focused on risk, studies, and clean reimbursement.