Over the past several weeks, I’ve spent time with customers across healthcare — providers, healthtech vendors, payers, EHRs, and life sciences organizations — who all share a familiar challenge as they gear up for 2026. Their teams are managing an expanding set of interoperability point solutions, each promising to “provide the answer” to an ever growing interoperability maze, yet collectively creating more complexity, more fragility, and more work than expected.
For a long time, that’s how the industry operated. Add another tool. Build another connection. Patch another workflow. And to be clear, many of these solutions solve very real problems. But there’s an important difference between a point solution and a true partner — especially when the data you’re moving is mission-critical, regulated, and constantly changing.
The reality is this: healthcare data isn’t getting simpler. The volume, velocity, and variety of data will continue to grow, and no single standard or architecture will magically make every system speak the same language. That’s not a failure of technology; it’s the nature of a complex ecosystem.
The organizations that move forward aren’t the ones chasing perfect uniformity. They’re the ones that invest in reliable, scalable ways to connect, translate, normalize, and use data without rebuilding everything every time something changes.
This is how healthcare makes progress. Not by layering new tools on top of brittle integrations, but by removing the friction that keeps data from moving — securely, intelligently, and at scale.
Why point solutions fall short, and what actually works
Point solutions are built to optimize for a vertical set of use cases. Interoperability partners create the conditions for many. The difference matters more as healthcare organizations look to apply analytics, automation, and AI at scale. Without a strong interoperability foundation, teams spend more time rebuilding plumbing than improving care.
That kind of foundation doesn’t happen by accident. It requires three things, consistently delivered over time:
- A deep understanding of healthcare data and workflows to help organizations make the right architectural decisions from the start, and then evolve over time as needs change;
- Strong technical execution and product vision so those decisions can be implemented securely, repeatedly, and without bespoke effort. In other words, a platform with re-usable components;
- Finally, a connected network of systems and organizations that allows new integrations to stand up quickly without starting from scratch each time.
Many people think of Redox as just connecting healthtech startups to EHRs. This view is understandable, but it’s incomplete. Over the last 12+ years, Redox has quietly built the interoperability layer needed to connect the entire healthcare ecosystem.
I spend a lot of time with customers, and the feedback is consistent. What differentiates Redox isn’t only the technology; it’s the experience behind it. Plenty of teams can make data move once. Far fewer can design integrations that continue to work through EHR upgrades, vendor changes, regulatory shifts, and organizational restructuring. We help customers build for that reality.
That perspective also shapes how we think about scale. What starts as a single use case rarely stays that way. As products grow and partnerships expand, interoperability has to support dozens or hundreds of connections without becoming brittle or bespoke.
Scale can refer to the number of connections, but it can also refer to the human capital needed to build and support integrations. Sometimes customers want to fully outsource to a partner. Sometimes they want to build it themselves. Sometimes there’s an appetite for a hybrid approach. A true interoperability partner will be able to provide the right support at the right time.
Interoperability only matters if it works in the real world. Data that technically moves but doesn’t align to clinical or operational workflows creates friction, not value. Our role is often translating between what systems can produce and what care teams actually need so data shows up usable, timely, and meaningful.
This is the difference between moving data and enabling interoperability — and why Redox shows up as a partner, not just a product.
Interoperability is a network effect
Interoperability doesn’t scale linearly; it compounds through a network. Each connection strengthens the next by reducing friction, increasing predictability, and shortening time to value. That’s why we’ve invested in building a Connection Network, in addition to an integration platform.
Our Connection Network is more than 12,000 organizations strong across payers, providers, life sciences, and more; and we add 15-20 new connected organizations every week. Yes, we connect to over 100 EHRs. We also connect to:
Importantly, many of these systems are implemented differently at every organization. Integrating with a CRM at one health plan does not automatically translate to another. As the saying goes, if you’ve integrated with one instance of Epic, you’ve integrated with one instance of Epic.
This complexity doesn’t disappear by pretending systems are uniform. It’s addressed by centralizing that complexity so our customers don’t have to manage it themselves. Teams integrate once with Redox, and we absorb the ongoing variability, ensuring integrations remain stable as systems, partners, and requirements evolve.
Interoperability, R^Solved
I’d be remiss if I didn’t address the previous point about tech and product vision. The core platform expansion that Redox announced a few months ago is the manifestation of that vision.
Redox Engine allows both developers and non-developers to shape data flows using modular building blocks through an intuitive interface. We’re deploying AI to help teams do more, faster — from simplifying configuration to accelerating troubleshooting. We’ve released our MCP layer in beta with select customers and are building AI agents that make it easier to understand and manage complex transaction flows.
Because in healthcare, interoperability isn’t finished when a connection goes live. It has to keep working as systems change and evolve.
It’s time to elevate interoperability from a background function to a strategic driver. I’ve said it before and I’ll say it again: interoperability is plural. To make that plurality work for your organization, you need a partner who speaks the many languages of healthcare data and unifies systems and formats behind the scenes. Redox: Interoperability R^Solved
This post was written by Trip Hofer, Redox’s Chief Executive Officer.