How it works

From patch transmission to clinical alert in under a minute

ElectroKare runs a three-stage pipeline: secure patch data upload, AI rhythm classification across 7 arrhythmia categories, and priority alert routing to your cardiology practice before the next scheduled visit.

38 sec
Median alert time
7
Arrhythmia categories
93%
AFib sensitivity
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Step one

Patch transmission

ElectroKare accepts data from standard single-lead ambulatory ECG patches. Your clinic uploads the completed patch file through a secure portal, or batches files via a clinic-to-clinic transfer protocol, depending on how your monitoring workflow is organized.

Compatible with the file output formats used by most commercially available 7-day and 14-day adhesive patches. No proprietary hardware required.

  • Secure upload via HTTPS with TLS 1.3
  • De-identified patient identifiers in transit
  • Batch upload supported for high-volume practices
Step two

AI analysis

Once uploaded, patch data runs through a multi-stage processing pipeline. The first pass applies noise rejection algorithms to handle motion artifact, baseline wander, and electrode lift, all of which are common in 14-day ambulatory recordings.

The cleaned signal is then classified across 7 arrhythmia categories by the detection model: AFib, atrial flutter, SVT, ventricular ectopy, bradycardia, tachycardia, and artifact-flagged segments. The model is designed to detect and trained on annotated ambulatory ECG data from long-duration patch recordings.

Each detected event receives a severity tier based on clinical significance, which drives the alert routing priority.

Step three

Priority alert routing

Detected events are assigned a severity tier, then routed to the designated cardiologist via email and, for Clinic and Network tier practices, through the in-portal alert queue and SMS.

Every alert includes an ECG strip excerpt showing the detected arrhythmia episode, the arrhythmia type and episode duration, the patch monitoring window timestamp, and a direct link to the full analysis in the portal.

The cardiologist reviews, makes the clinical decision, and resolves or escalates directly from the alert. ElectroKare surfaces the finding and routes it; the cardiologist acts.

Data handling

Data handling and privacy

ElectroKare is designed with HIPAA-compliant architecture as a foundational requirement, not an add-on. All data is encrypted in transit using TLS 1.3 and encrypted at rest. Patient identifiers are de-identified during transmission, and ECG data is not used for model training without explicit clinic opt-in.

Each clinic account operates in a logically isolated environment. Audit logs record every alert viewed, resolved, or escalated, creating a complete review trail for compliance purposes.

Encryption in transit and at rest
TLS 1.3 in transit. AES-256 at rest. No plaintext storage of ECG data.
De-identified data in transit
Patient identifiers are replaced with clinic-assigned tokens before data leaves the practice upload point.
Opt-in model training only
Your patient ECG data is never used to train or update AI models without your practice's explicit written opt-in.
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We set up a session showing how alert routing fits your current monitoring review process.

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