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Config modifiers put control right in your hands, whether you’re setting up your first integration or managing hundreds of live connections. This post covers the full range of what Redox config modifiers do today, from manual field mapping to self-service troubleshooting to AI-assisted creation, plus what’s coming next as they scale through MCP.

No engineering degree required. Here’s FHIR in plain English, straight from our FHIR101 course with Out-of-Pocket Health.

We shipped our MCP server and AI Assistant Suite, and adoption exceeded targets. The surprise? AI tooling generates more backlog, not less. When it’s cheaper to propose an integration change, more changes get proposed and freed-up capacity gets absorbed by work that never made the cut before.

CTO Sasi Mukkamala breaks down what changed, what didn’t, and where our AI roadmap goes next.

Redox CPO Rachel Witalec recently joined Intellistack for an episode of Partner Pulse, a series exploring how technology partners are solving healthcare’s hardest integration challenges. This piece goes deeper on what Rachel covered: why the data infrastructure layer determines whether activation tools actually work in production, and what that means for the healthcare IT teams evaluating them.

Lapsi Health and Redox are helping healthcare organizations overcome the challenge of workflow fragmentation by connecting the Keikku Clinical Platform with existing EHR infrastructure.

Evaluating an interoperability partner? Ask these non-obvious questions about resource costs, scaling, and data usability before you sign.

On June 3rd, the MCP server, AI Assistant Suite, and intelligent in-flight data processing went live. Q3 builds on this momentum. Read on for a month-by-month glance at new capabilities to help you start, scale, and build with AI, with Redox as your interop partner every step of the way.

Redox, the leading healthcare data interoperability partner, today announced the launch of several artificial intelligence (AI) capabilities integrated across Redox Engine, the company’s interoperability platform.

The most productive integration engineers have stopped logging into platforms. In this post, Redox CPO Rachel Witalec makes the case for headless healthcare data infrastructure: what it requires, what it unlocks, and why most platforms can’t pull it off.

Most healthcare organizations have solved the data movement problem. The harder challenge (and the one AI actually requires) is data readiness. In this post, Redox CPO Rachel Witalec breaks down the three jobs of AI-ready healthcare data infrastructure and what it takes to build a composability layer that lets AI work reliably at scale.

Stop paying staff to manually triage paper. See how thin-margin health systems use intelligent document automation to slash operating costs and scale in just 35 days.

AI is evolving faster than most healthcare organizations can respond. AI is evolving faster than most healthcare organizations can respond. In this episode of Shut the Back Door, Redox Security Advisor Ben Doyle breaks down Mythos — an AI-native system that can autonomously chain together known threats and uncover new ones at machine speed. Here’s what it means for your security posture and where to start.