ECG validation • audit trails • reporting

ECG Data Validation for Medical AI Companies

Reduce cardiologist review time, improve dataset quality, and ship regulatory-ready evidence faster. We provide automated QC, measurement verification, and documentation designed for clinical and submission workflows.

Works with 12-lead ECG, Holter-derived strips, and telemetry exports. Deployment: cloud API or on-prem.

Core services

What we deliver

A practical validation layer that plugs into your labeling and adjudication workflows—built to reduce rework, boost trust, and speed timelines.

Automated quality checking

Detect artifacts, lead reversals, clipping, baseline wander, and noise. Flag “needs reacquisition” early to avoid downstream churn.

Measurement verification

Validate QT/QTc, QRS, PR and rhythm annotations with uncertainty estimates and structured adjudication notes.

Regulatory-ready reporting

Dossiers with subgroup analysis, bias checks, versioned datasets, and full audit trails—ready for review packages.

Data governance Expert adjudication Versioned outputs Subgroup performance
Workflow

How it works

A four-step process that fits trials, labeling pipelines, and model development.

1

Ingest

Secure upload via API/SDK or on-prem batch. Support for common ECG formats and exports.

2

QC & triage

Automatic flagging + prioritization so experts see the right cases first.

3

Verify & adjudicate

Measurement checks, uncertainty, and structured notes. Optional cardiologist sign-off.

4

Report

Export datasets + dashboards + validation dossier with audit trail and subgroup results.

Partnerships

Tailored solutions for industry partners

Choose the model that fits your product and delivery motion.

For AI/Data Platforms (Labelbox, Centaur Labs, V7, Scale AI)

Value: Add ECG pre-validation as a platform module to shorten expert time and improve annotation consistency.

  • Smart triage
    Flag low-quality signals before they reach clinicians.
  • Pre-annotation
    AI-generated measurements for faster expert confirmation.
  • White-label option
    Offer under your brand with minimal engineering lift.
  • Revenue share
    Align economics when automation reduces human effort.

For CROs & Pharma Services (IQVIA, Medidata, ICON, Covance)

Value: Speed cardiac safety workflows and reduce cardiologist effort with AI first-pass adjudication support.

  • Endpoint measurement support
    Consistent interval/rhythm checks for trial pipelines.
  • Real-time site QC
    Immediate quality feedback during enrollment.
  • Faster database lock
    Reduce re-reads and reconcile loops.
  • Submission-ready outputs
    Traceability, audit trails, and subgroup reporting.

For Medical AI Developers (ECG algorithm startups)

Value: Use a ready validation layer so you can focus on the model, not building compliance plumbing.

  • Training data validation
    Improve label quality and consistency with documented decisions.
  • Independent test reports
    Third-party style evidence bundles for review packages.
  • Bias & fairness analysis
    Subgroup performance and demographic slices.
  • Pre-sub support
    Templates and traceability helpful for submission discussions.

For Hospitals & Clinical Research Sites

Value: Improve acquisition quality early, reduce screen failures, and standardize multi-site data capture.

  • Real-time quality checks
    Feedback during visits to prevent unusable recordings.
  • Site dashboards
    Central view of quality and outliers across sites.
  • Integration options
    Supports on-prem workflows and secure environments.
  • Training & support
    Enable staff with clear acquisition playbooks.
Integration

Flexible integration options

Cloud API, on-prem container, plugins, or SDKs—choose what your governance allows.

Cloud API

REST API for scalable processing with optional SLA. Ideal for platforms and CROs.

On‑prem deployment

Docker container for sensitive environments. Keep data inside your network.

SDK & libraries

Python/R/MATLAB libraries to embed validation into existing analysis pipelines.

Ready to strengthen your ECG evidence pipeline?

Run a small pilot with your data and see how QC + structured adjudication improves speed and reliability.

FAQ

Common questions

Short answers your buyers and reviewers typically ask.

Is this a replacement for cardiologist review?

No. It is a validation layer that triages, standardizes, and documents decisions—so clinicians spend time on the right cases and the evidence is easier to audit.

Can we deploy on‑prem / inside a regulated environment?

Yes. The page includes an on‑prem Docker option and SDKs. That supports strict data governance and “no external transmission” policies.

What do we receive at the end of a pilot?

A versioned dataset export, summary metrics, a validation report template, and an audit trail of flags/edits suitable for your internal review process.

How do you handle demographic subgroup reporting?

We can slice and report by available demographics and device/site metadata (where provided), highlighting performance deltas and potential biases.

Contact

Get started

Tell us what you’re building and we’ll suggest a pilot shape, integration path, and evidence outputs.

We’ll tailor the pilot and documentation to your workflow.
By submitting, you agree that we may contact you about this request. Do not include PHI in this form.

Typical response time: within 1 business day.