Cardiac monitoring data is only useful if it reaches the right people at the right time, especially clinicians in the EMR. Most early-stage health tech companies treat integration as something to solve after a deal closes. That path is slow and reactive, and it stalls implementation exactly when speed matters most.
Wearlinq™ took a different approach from the start. The result: confidence in delivering on a two-week turnaround time¹ from discovery to implementation for new customers.
The challenge
Wearlinq is elevating the standard of cardiac monitoring through several technological and clinical innovations, like their eWave™ multimodal device. The lightest device of its kind², and available for use with a patient’s personal phone³, eWave is unique in that it captures six-leads of ECG data wirelessly, continuously transmitting data and delivering timely, high-quality reports.²
But speed and accuracy only matter if data reaches a clinician in time to act on it. With the EMR living at the center of the point of care, selling into health systems means this same question comes up in every conversation: “tell me about how you’ll integrate with our EMR.”
For an early-stage company like Wearlinq, that question carries real weight. Health systems expect integration to work seamlessly from day one, but building that capability usually means hiring specialized talent, navigating vendor dependencies, or both, long before there’s revenue to support it. Get it wrong, or move too slowly, and damage the customer relationship before the product ever gets a chance to prove its value.
For cardiac monitoring data to flow into an EMR without manual re-entry or clinicians toggling between systems, it also has to be shaped precisely to match what each receiving system expects. This work typically requires fluency in a variety of healthcare data standards, relying on expertise that takes time to build in-house.
That left Wearlinq with a decision to make: spend months building fluency and integration capabilities in-house, or lean on a partner who already had it.
The solution
Wearlinq’s answer wasn’t to build a bigger team. Instead it looked like giving Andrew Garrett, their EMR Implementation Manager, hands-on control so EMR integration was ready to start the moment a customer signed.
Working with Redox as their interoperability partner, Andrew worked through Redox’s reference documentation, tested against provided sample data, and iterated by hand on config modifiers — the piece of work that shapes cardiac monitoring data to match exactly what each receiving EMR expects.
That early investment mattered. When working with a previous integration vendor, Andrew had no hands-on control at all; every config change required a formal request and an indefinite wait. WIth Redox, Andrew built a foundation of platform knowledge before any deadline pressure hit. The Onboarding process reinforced that foundation further: working closely with the Redox team, Andrew left with a completed integration scope, informed by thousands of previous integrations, that he could put to work right away.
Even better, when the Config Modifier AI Assistant was released in the customer dashboard in June 2026 as part of a major Redox AI launch, Andrew was mid-installation and already fluent in what config modifiers needed to do. The new AI tooling met him exactly where he was, sharpening the syntax and translation work he was already deep in, rather than asking him to start over with a new tool.