Hardware to Intelligence: Building a Reimbursement Strategy for Intelligent Medical Devices

“Hardware to Intelligence: Building a Reimbursement Strategy for Intelligent Medical Devices” is now available as an on-demand webinar. In this MedTech Unscripted conversation, Scott Phillips, CEO of StarFish Medical, sits down with Dr. Bill Hunter, MD, founding member, CEO, and CMO of Canary Medical and pioneer of the Persona IQ smart knee implant, to explore what it actually takes to get paid for the data an intelligent medical device generates long after it’s implanted.

Why Reimbursement, Not Technology, Decides Medtech’s AI Era

Bill spent the first part of his career solving medical device problems by putting drugs onto devices, work that led to Angiotech’s drug-eluting stent technology and more than 200 patents to his name. Watching smartphones learn to sense location and motion, he began asking why implants couldn’t do the same, and founded Canary Medical on the idea that adding power, sensors, and transmission to an inert device could turn it into a source of ongoing clinical data. The company’s first embodiment became a smart knee implant, developed with Zimmer Biomet, though Bill has been clear the original intent was a broader data platform, not an orthopedics company.

That path was not an easy sell. Tech investors saw a regulated medical device and walked away; traditional medtech investors couldn’t get comfortable with a business model built on data rather than device features. Canary funded its own path to FDA approval as a result. Zimmer Biomet’s interest, by Bill’s account, grew out of a wider shift already underway in orthopedics: Stryker’s Mako robotics platform was gaining ground, and other orthopedic companies were starting to move into robotics too. As Zimmer Biomet became more focused on technology, the idea that its implants could become advanced enough to communicate with surgical robots fit its own push toward a more digital product line, a shift Bill says mattered more to the partnership than any early business case for the data itself.

The bigger shift Bill describes is in how medical devices get paid for. Under fee-for-service reimbursement, complications and readmissions generate additional revenue; under episode-of-care reimbursement, a single bundled payment covers a fixed window, so preventing complications becomes the financially rational choice instead of an afterthought. He points to a CMS rule, finalized just weeks before this conversation, that reshapes how hospitals across the United States get reimbursed for a major category of surgical implants. Bill calls it the seminal event in his company’s history, and the clearest signal yet that reimbursement, not device capability, is what determines whether an intelligent medical device actually reaches the market it was built for.

Drawing on the analogy of Holter monitoring, Bill lays out how a physiologic data stream evolves once it exists: from simple monitoring, to recognizing abnormal patterns, to diagnosis, to predicting problems before they happen. He argues that pattern holds regardless of the device generating the data, and that it marks the real transition from a device mindset (build a better widget, get paid for the widget) to a data mindset, a fundamentally different business built on proprietary data and network effects rather than features alone.

This recording is a useful resource for MedTech founders, executives, and product teams building connected or data-generating devices. It offers a candid, specific look at how reimbursement structures, not just technical capability, determine whether an intelligent medical device succeeds, along with practical detail on how Canary validated its implant before human trials and how it has approached protecting a data-driven business from disruption. The session closes with a live audience Q&A covering both of those questions directly.

Related Resources

Managing Risk in Program Estimation

The goal of risk management in estimation is to end up in a place where the gap between estimated and actual outcomes is acceptable to stakeholders, even if it isn’t perfect.

Hardware to Intelligence: Building a Reimbursement Strategy for Intelligent Medical Devices

Dr. Bill Hunter, founder and CEO of Canary Medical, joins StarFish Medical CEO Scott Phillips to unpack what it actually takes to get paid for the data an intelligent medical device generates, and why a recent shift in reimbursement could decide how fast the rest of medtech follows.

End-to-End Electronics Design: Why the Same Team Should Design, Layout, and Bring Up Your Hardware

When one team designs, lays out, and brings up a board, knowledge sticks. Splitting that work across specialists looks efficient but creates the risk it’s meant to avoid.

AI Coding Agents Get EE Teams to Answers Faster

AI coding agents like Claude and Codex are helping EE teams turn concepts into tested hardware in weeks, not months, without adding a new vendor or software dependency.