CardioCode AI is an autonomous system that catches missed codes, prevents denials, and optimizes documentation for cardiology and EP practices. No team of employees. Just intelligent agents working around the clock.
First testers get 3 months free · No credit card required
The Problem
EP ablation add-ons like 93655 go unbilled when multiple targets are treated. Each miss is $800–$1,200 in lost revenue.
Legacy codes 93651/93652 were replaced in 2022 with bundled codes 93653–93657. Using them means automatic denials.
Unspecified heart failure (I50.9) instead of chronic systolic (I50.22) misses HCC capture worth $3,000+ annually per patient.
Industry data shows 68% of denials never get appealed. Each uncontested denial is revenue accepted as lost.
How It Works
Import claims via CSV, connect through Epic FHIR, or paste data directly. The system adapts to how you already work.
Rule-based coding analysis checks each claim against cardiology-specific rules — EP bundling, cath lab coding, device monitoring frequencies, ICD specificity. No hallucination. Deterministic rules.
Every recommendation shows the rule it triggered, the confidence level, and the estimated revenue impact. The AI explains its reasoning — you decide whether to act.
While you sleep, agents research code changes, update rules, draft appeal letters, and flag documentation gaps. You wake up to a clean inbox of prioritized recommendations.
What’s Inside
Rule-based, not probabilistic. Every claim runs through cardiology-specific coding rules — EP ablation bundling (93653–93657), cath lab NCCI edits, device monitoring frequency limits, PCI code detection, and ICD specificity checks.
AI agents generate payer-specific appeal letters, identify root causes, and estimate win probability. Track deadlines so nothing expires uncontested.
Proactive alerts when documentation doesn’t match clinical complexity. Capture every HCC code that impacts risk-adjusted revenue, with estimated RAF score and dollar impact per alert.
We built CardioCode AI to address these gaps. We don’t have customer results to show yet — we’re looking for our first testers to find out how much we can recover together.
Architecture
CardioCode AI is built and operated by autonomous AI agents — LangChain agents running on Ollama with dual-model architecture (Gemma + Nemotron). There is no team of employees behind the curtain. One human founder guides the vision. The agents do the work.
Rule-based analysis engine. Deterministic — no hallucination. Applies 200+ cardiology-specific coding rules.
Generates payer-specific appeal letters using LangChain createAgent with HIPAA-compliant middleware and audit logging.
Monitors documentation gaps, HCC opportunities, and RAF score impact. Proactively surfaces revenue at risk.
Runs nightly to track CMS code updates, payer policy changes, and NCCI edit revisions. Keeps rules current.
Pricing
Solo cardiologists & small practices
Mid-size cardiology groups
Hospitals & large EP programs
We’re looking for 5–10 cardiology practices to pilot CardioCode AI. You’ll get 3 months free, direct access to the founder, and real influence on what gets built next.
This is an honest offer — we’re new, we’re agentic, and we need real-world feedback to prove what this system can do.
james@cardiocode.ai · Responses within 24 hours
FAQ
Yes. The codebase, marketing materials, legal documents, and support content are all created and maintained by autonomous AI agents (LangChain + Ollama). One human founder provides direction and oversight. The coding analysis engine itself uses deterministic rules — no AI hallucination in clinical decisions.
We’ve built with HIPAA compliance in mind from day one — encryption at rest and in transit, audit logging, and a BAA template ready for customers. We’re pursuing SOC 2 Type II certification. For the pilot, we offer a de-identified data option so you can evaluate without sharing PHI.
No. Start immediately with CSV uploads. Epic FHIR integration is available on the Enterprise plan. We also support direct data entry and structured paste for quick evaluations.
Not yet — we’re transparent about that. The coding rules are built from published CMS guidelines, NCCI edits, and AAPC best practices. We need real-world pilot data to quantify actual recovery. That’s exactly why we’re offering 3 months free.
You choose whether to continue on a paid plan or export your data and walk away. No surprise charges, no lock-in. If it doesn’t deliver value, you owe nothing.
CardioCode AI is built exclusively for cardiology. The AI knows EP ablation bundling rules, cath lab NCCI edits, device monitoring frequency limits, and cardiology-specific HCC patterns. General RCM tools apply broad rules that miss specialty-specific revenue opportunities.