About Implansense

Built by People Who Saw the Problem Firsthand

Implansense started in Philadelphia EP labs, where a clinical specialist watched coordinators spend three hours every morning on transmissions that 70% of the time turned out to be artifact. We built the triage layer those clinics were missing.

How Implansense Started

Tobias Rosen spent four months as a cardiac device clinical specialist supporting EP labs across five Philadelphia-area hospitals. At one busy community EP practice, the lead device coordinator spent three hours every morning sorting through 140 Medtronic CareLink notifications — about 70% of which she identified on sight as artifact from patients in occupations with high electromagnetic exposure — before she could reach the four transmissions that actually needed a physician callback. Tobias tracked the pattern across multiple sites and found it was the norm, not the exception.

The insight wasn’t that the coordinator was slow. It was that the remote monitoring platforms were built to deliver every transmission to the clinic rather than to triage clinical urgency. Artifact filtering and risk stratification existed in the academic literature for ICM data, but no one had productized it for the device coordinator workflow in a multi-manufacturer, mixed-device-type clinic. Tobias brought that gap to Claudia Wentworth, a healthtech software engineer with five years building remote patient monitoring integrations for Abbott and Philips platforms, and they built a first prototype together.

That prototype pulled Abbott Merlin.net transmissions via API, ran a signal-quality scorer on the raw waveform files, and presented a sorted worklist at a single-physician EP practice in suburban Philadelphia. The coordinator reduced her daily transmission review time from 90 minutes to 22 minutes in the first month and immediately asked whether it could also pull from CareLink. Implansense now supports Abbott, Medtronic, and Biotronik platforms, with a multi-label arrhythmia classifier and clinical-context risk stratifier focused on specialty EP and heart failure clinics managing 200–600 active ICM patients.

Mission

Get the highest-risk cardiac device transmissions to the right physician inbox the same day they arrive.

  • Signal quality before volume
  • Coordinator time is clinical time
  • Multi-manufacturer by default
  • No proprietary data lock-in
  • Audit trail on every risk classification

Reach Out to the Team

We work with EP and heart failure clinics managing 200–600 active ICM patients. If that’s your practice, we’d like to show you what the worklist looks like for your device mix.