Blog

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.

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.

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.

Whether you’re a long-time partner or exploring Redox for the first time, this month-by-month breakdown highlights the tools we’re building to help you move from reactive troubleshooting to proactive orchestration in Q2 2026.

The AI Assistant Suite adds three AI-powered tools directly to the Redox dashboard: a Config Modifier Assistant that generates ready-to-use schemas from plain-language requests, a Log Summary Assistant that explains what happened during processing in plain English, and a Payload Summary Assistant that instantly translates raw payloads into human-readable summaries. These tools are built for mixed-technical teams—reducing reliance on support queues and freeing up technical staff for complex work. Available now for all Redox customers.

When one of your customers gets compromised, the risk doesn’t stop with them. It extends to every system, connection, and customer tied to them. In the latest episode of The Cyber Checkup, Trevor Wilson walks through what actually happens behind the scenes when a customer is compromised.

After seven years at Redox, Andy Pung left. Now, he’s back as Head of Sales. Discover why his return wasn’t just about the incredible culture, but how the Redox platform has evolved from a startup point solution into a powerhouse for enterprise healthcare data orchestration and AI adoption.

Explore our library of composable workflows built for common use cases across provider organizations, payers, and health tech. Built from modular building blocks, these end-to-end data flows are designed for true flexibility — allowing you to rearrange and customize components to fit your needs.

As healthcare data integrations become more dynamic, composable, and conditional, the tools used to understand them need to evolve too. We’re introducing a modern workflow viewer that goes beyond static, text-based log outlines with a clear, interactive map of how data actually moves through your system.

Build real-time clinical data pipelines in minutes using natural language. Learn how Databricks Zerobus and Redox eliminate integration bottlenecks and subsecond latency to power instant AI insights and EHR writeback.