Cardiology has the deepest deployed base of AI in healthcare today. ECG analysis, echocardiogram interpretation, deterioration prediction from continuous monitoring, and AI-driven remote patient monitoring for heart failure and post-MI patients all have strong clinical evidence and active FDA-cleared products. Building cardiology AI means working with high-frequency physiological data, time-series feature engineering, and a regulatory pathway that is one of the most active in FDA SaMD.
Taction Software’s cardiology AI engineers have shipped predictive cardiac RPM systems, ECG analysis pipelines, and heart failure decompensation models integrated with Epic, Cerner, and BLE cardiac devices. Engagements begin with a $45K Discovery Sprint.
Our experts are ready to understand your business goals.
We map your cardiology AI use case, select the data sources (device streams, EHR data, both), identify FDA SaMD risk, and produce a technical architecture.
We build the inference pipeline, time-series feature engineering, FHIR integration, first end-to-end use case, eval harness skeleton, and audit logging.
We harden for clinical pilot, prepare FDA SaMD documentation if applicable, and produce clinical evidence.
For productized sprint pages, see Discovery Sprint, MVP Sprint, and Pilot-Ready Sprint.
AI models predicting decompensation 7 to 14 days before a clinical event. See our predictive cardiac RPM case study.
Continuous monitoring of post-MI patients with deterioration risk scoring.
AI-driven arrhythmia detection from continuous or intermittent ECG sources.
AI-driven prioritization of cardiac RPM alerts to reduce false positives. See our work on AI reducing RPM alert fatigue.
Structured extraction of LVEF, valve disease, wall motion abnormalities from echocardiogram reports.
For deeper context, read our predictive RPM cardiac deterioration overview and the healthcare AI use cases 2026 guide.
Hire healthcare AI engineers, RPM developers, or FDA SaMD engineers at $8K per engineer per month.
For estimates, use the healthcare AI cost calculator.
Discovery Sprint $45K, MVP Sprint $95K, Pilot-Ready Sprint $145K. Full pathway $285K over 24 weeks.
Frequently yes. Arrhythmia detection, deterioration prediction, and many cardiac decision-support features are Software-as-a-Medical-Device.
KardiaMobile, Apple Watch ECG, Withings BPM, Omron BP, implantable cardiac monitors via vendor SDKs, and continuous patch monitors. Plus EHR data via FHIR R4.
Yes. Heart failure decompensation prediction with 7 to 14 day lead time is one of our shipped patterns.
Yes. Alert prioritization and false-positive reduction are core deliverables.
Yes. Every engagement begins with a BAA.
Yes. CPT 99453, 99454, 99457, 99458 plus the cardiac-specific 93224-93237 codes are part of standard work.
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We schedule a call to discuss your project, goals. and priorities, and provide preliminary feedback.
If you're satisfied, we finalize the agreement and start your project.