Healthcare strategy

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.

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.

Why vibe-coded AI fails in production: beyond the “time-to-wow” demo trap. Discover why healthcare AI integrations need more than just foundational models. Learn how an agent harness and real-world EHR expertise bridge the gap between a polished prototype and production-ready interoperability.

Healthcare interoperability has a new mandate. Learn why AI success depends on intraoperability — the internal data infrastructure that turns fragmented systems into an agentic enterprise.

Since it’s February, the month of love, we can’t help but notice that scaling a healthcare data integrations team feels a lot like dating. And just like dating, the goal isn’t a flashy first impression; it’s a partner who shows up consistently, adapts as you grow, and stays steady when things get complicated. You deserve an interoperability partner who’s in it for the long haul, not just a phase.

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.

Meet Sasi Mukkamala, Redox’s new CTO. After years building AI-powered products that rely on clean upstream data, Sasi joined Redox to help elevate our platform into the intelligent foundation healthcare needs for AI at scale. Sasi’s debut post shares why Redox’s intelligent platform is uniquely positioned to deliver real operational value through AI.

As Force Therapeutics and Redox mark a decade of partnership, we celebrate the longevity of our collaboration as well as the measurable impact it has had on the healthcare ecosystem. Together, we have reimagined how data, technology, and clinical expertise converge to power a more connected, efficient, and patient-centered model of care.

What if your data could arrive in the right condition from the start? This could include normalization of clinical codes, adding missing context from third party sources, or validating quality/accuracy. In this post, we’ll explore how solving data quality problems “in-flight” (or upstream) doesn’t just save time—it creates a lasting strategic advantage.

When it comes to interoperability, if you feel like a frustrated little kid sitting in the back of the car screaming “are we there yet?”, you’re not alone. In this post, we’ll explore why flexibility is the key to true interoperability, and share how leading organizations are already demanding platforms that adapt to their unique workflows.