AI Scribe for Cardiology: Built by Cardiologists, for Cardiologists
Cardiology generates some of the most complex clinical documentation in medicine. Between cath lab reports, echo interpretations, anticoagulation management, and ward handovers, cardiologists spend a disproportionate amount of their day writing notes rather than seeing patients. A generic AI scribe was never going to cut it. FrontRx was built by interventional cardiologists at the Montreal Heart Institute who got tired of the problem and decided to solve it themselves.
The documentation burden in cardiology
Cardiology sits at the intersection of acute care, longitudinal chronic disease management, and procedural medicine. A single cardiologist may perform a coronary angiogram in the morning, round on 15 inpatients over lunch, run an afternoon heart failure clinic, and finish the day interpreting a stack of Holter monitors. Each of those activities demands different documentation: procedural reports with standardized anatomical descriptions, progress notes that track medication titrations across visits, consultation letters that synthesize complex risk profiles, and structured interpretations with quantitative measurements.
Studies consistently show that physicians spend roughly two hours on documentation for every one hour of direct patient care. In cardiology, the ratio can be worse. A post-catheterization note alone requires documenting access site, catheter selection, coronary anatomy, lesion characteristics, intervention details, device specifications (stent type, diameter, length, deployment pressure), complications, and post-procedure plan. Multiply that across six to eight cases per day and you begin to understand why documentation is the number-one driver of burnout in the specialty.
What makes cardiology documentation unique
Generic AI scribes are trained on broad medical corpora. They handle a straightforward family medicine visit reasonably well. Cardiology breaks them in specific, predictable ways.
First, the terminology. A cardiologist dictating a cath report will reference the left anterior descending artery, its diagonal branches, the left circumflex and its obtuse marginals, the right coronary artery and the posterior descending artery in rapid succession. They will describe lesions as "90% ostial LAD stenosis" or "diffuse disease in the mid-RCA with TIMI 2 flow." They will reference SYNTAX scores, CRUSADE bleeding risk, CHA2DS2-VASc for atrial fibrillation stroke risk, and HAS-BLED for anticoagulation decisions. A scribe that cannot natively parse this vocabulary will produce notes that require more editing than they save.
Second, the structure. An outpatient heart failure follow-up note is fundamentally different from a pre-operative assessment for TAVR, which is fundamentally different from a discharge summary after an acute coronary syndrome admission. Each has its own expected sections, data points, and clinical reasoning patterns. A cardiology AI scribe must understand these templates natively rather than forcing everything into a generic SOAP format.
Third, the longitudinal complexity. Cardiology patients are often followed for years. A visit note that does not reference the trend of left ventricular ejection fraction over the last three echos, the trajectory of NT-proBNP levels, or the history of medication titrations ("sacubitril/valsartan up-titrated from 24/26 mg to 97/103 mg over six months") is clinically incomplete. The scribe must handle temporal context, not just the current encounter.
How FrontRx handles cardiology workflows
FrontRx was co-founded by Robert Avram, MD, MSc, FRCPC, an interventional cardiologist at the Montreal Heart Institute, and Abhinav Sharma, MD, PhD, a cardiologist-scientist at McGill University. The platform was not designed by software engineers guessing at clinical requirements. It was built by cardiologists who document their own cases and who understood exactly where the pain points are.
The scribe engine natively supports cardiology terminology across subspecialties: interventional, electrophysiology, heart failure, structural heart, and preventive cardiology. It recognizes coronary anatomy nomenclature, valve pathology grading scales (mild/moderate/severe with quantitative parameters), rhythm classifications, and hemodynamic measurements. When you dictate "critical aortic stenosis with a mean gradient of 48 and an AVA of 0.7," FrontRx does not need to guess what you mean.
Cath lab documentation: from procedure to note in minutes
The cath lab is where documentation bottlenecks are most acute. An interventional cardiologist finishes a complex PCI, scrubs out, and immediately has another case on the table. The procedure note from the first case gets delayed, sometimes until the end of the day when details are less fresh. This is not just an administrative problem; it is a patient safety issue. Late documentation increases the risk of missing post-procedure complications and delays communication with the ward team.
FrontRx lets you dictate the procedure note between cases. The scribe captures access site details, catheter and wire selections, coronary anatomy findings by vessel segment, intervention specifics (pre-dilation, stent deployment parameters, post-dilation, final angiographic result), and the post-procedure plan including dual antiplatelet therapy duration, access site management, and follow-up imaging. The output follows your institution's preferred cath report structure, so the note is ready to review and sign, not reconstruct from scratch.
Ward handover: continuity across cardiology teams
Cardiology ward services are high-acuity environments. The on-call cardiologist covering overnight may be responsible for 30 or more patients, many of whom are post-procedure, post-MI, or in active heart failure management. A poor handover can mean a missed troponin trend, an overlooked heparin bridge, or a delayed response to a rhythm change.
FrontRx generates structured patient handover lists that include active cardiac issues, current drips and titration targets, pending results (serial troponins, repeat echos, blood cultures), and specific action items for the covering physician. This is not a generic patient summary. It is a cardiology-specific handover designed by physicians who have taken call on these wards and know what information the overnight team actually needs at 2 AM.
Prescription management for cardiac medications
Cardiac pharmacology is among the most complex in medicine. Cardiologists routinely manage anticoagulation (warfarin with INR targets, DOACs with renal dose adjustments), antiarrhythmics (amiodarone loading vs. maintenance, sotalol with QTc monitoring), heart failure quadruple therapy (ARNI, beta-blocker, MRA, SGLT2 inhibitor, each with their own titration schedule), and antiplatelet regimens that change based on time from stent implantation, bleeding risk, and concomitant anticoagulation needs.
FrontRx includes Klio, an AI prescription agent that understands these cardiology-specific prescribing patterns. Klio handles heparin bridge protocols for patients transitioning between anticoagulants perioperatively. It manages weight-based Fragmin (dalteparin) dosing. It flags QT-prolonging drug interactions when you add a new medication to a patient already on amiodarone or sotalol. And it does all of this within the documentation workflow, so the prescription is generated alongside the clinical note rather than in a separate system.
Generic AI scribes vs. FrontRx for cardiology
| Feature | Generic AI Scribes | FrontRx |
|---|---|---|
| Coronary anatomy terminology | Frequently misrecognized | Native support for all coronary segments |
| Cath lab procedure reports | Generic procedure template | Structured cath report with vessel-by-vessel findings |
| Echocardiography interpretation | Unstructured paragraph | Structured echo report with quantitative parameters |
| Risk score integration | Manual entry required | CHA2DS2-VASc, HAS-BLED, SYNTAX referenced natively |
| Cardiac medication management | Basic drug list | Klio agent with interaction checks and protocol support |
| Ward handover | No specialty support | Cardiology-specific structured handover lists |
| Anticoagulation management | Not supported | Heparin bridge protocols, DOAC renal dosing, INR targets |
| QT-prolonging drug checks | Not supported | Automatic alerts via Klio prescription agent |
| Note templates by visit type | One-size-fits-all SOAP | Consult, follow-up, pre-op, discharge, procedure-specific |
What to evaluate before choosing a cardiology AI scribe
If you are a cardiology division chief, a cath lab director, or a practicing cardiologist evaluating AI documentation tools, here is what we recommend based on our experience building and using FrontRx in a high-volume interventional practice.
- Test with real cardiology dictations, not demo scripts. Use a complex cath report, a heart failure follow-up with medication changes, and a consult on a patient with atrial fibrillation and recent GI bleeding. These are the cases that expose the limitations of generic tools.
- Evaluate note completeness against your current standards. Does the output include all expected sections? Are quantitative measurements preserved accurately? Are medication doses and frequencies correct?
- Measure time-to-signoff. The point of an AI scribe is to reduce documentation time. If cardiologists are spending 5 minutes editing every note the scribe generates, you have not solved the problem; you have moved it.
- Check handover and continuity features. Ask whether the tool can generate ward handover lists, track pending results across shifts, and maintain patient context across encounters. Documentation is not just about the note; it is about clinical continuity.
- Assess prescription integration. Cardiac patients are often on 10 or more medications. A scribe that documents the visit but cannot assist with the resulting prescription changes creates a split workflow that costs time rather than saving it.
Built at the Montreal Heart Institute. Proven in real cardiology practice.
FrontRx is not a general-purpose medical scribe with a cardiology marketing page bolted on. It was conceived in the cath lab, developed by cardiologists who use it daily, and refined based on thousands of real clinical encounters across interventional cardiology, heart failure, electrophysiology, and general cardiology clinics. The terminology is native. The templates match how cardiologists actually think and document. The prescription agent understands cardiac pharmacology. And the handover system was designed by physicians who have lived the 2 AM call experience.
If your cardiology team is evaluating AI documentation tools, we invite you to test FrontRx with your own cases. Not a curated demo. Your actual workflow, your terminology, your note templates. That is the only evaluation that matters.
