AI is reshaping healthcare, from diagnostics to patient engagement. But one of its most practical applications today is in healthcare integration. Behind every workflow are countless data feeds, formats, and systems that must communicate seamlessly, and without strong integration, innovation stalls.
iNTERFACEWARE’s Iguana has long powered integration for vendors and community hospitals, but its greatest strength lies in large, complex healthcare networks. Enterprise hospitals must connect hundreds of applications across multiple facilities while exchanging data with dozens of external partners. The result is an ecosystem that is messy, unpredictable, and constantly evolving.
In this environment, drag-and-drop tools and fixed adapters quickly fall short. The complexity of enterprise integration demands solutions that can adapt to any requirement. That is why code-based engines like Iguana are mission-critical. And now, with AI coding assistants, the advantages of a code-driven model are more accessible than ever.
Healthcare data is notoriously inconsistent. Systems often use proprietary formats, data arrives malformed or incomplete, and standards are implemented differently from one vendor to the next. At the enterprise level, these problems are multiplied by the sheer number of systems and partners that must be integrated.
A code-based integration engine like Iguana provides unlimited adaptability. Every interface can be tailored to handle malformed data, normalize proprietary formats, and connect with any system, no matter how unusual or complex. This flexibility has always been crucial, but in the age of AI, it is also becoming easier to put into practice.
In the past, one concern about code-based engines was the skillset required. Not every hospital IT team has developers ready to write scripts from scratch. But AI is changing that dynamic.
Pre-built modules as a foundation: Iguana includes a wide range of ready-made components for common tasks such as connection modules, transformation scripts, and workflow templates. These building blocks give teams a head start so they are never beginning from zero.
AI coding assistants as accelerators: Widely available AI tools can generate, refactor, or debug Lua scripts quickly. Paired with Iguana, they empower analysts and integrators to work with code, even if they are not seasoned programmers.
This combination does not replace human oversight. It enhances it. AI can suggest code, but Iguana ensures teams remain in control, with every interface transparent, testable, and fully understood.
Here is the shift: what was once seen as a limitation, needing code to customize interfaces, has become a strength. With AI support, working with code is no longer a bottleneck. Instead, it is the most powerful way to ensure integrations are future-proof.
Flexibility: Anything can be built, no matter how unique the requirement.
Speed: AI accelerates development cycles, cutting time from design to deployment.
Control: Code ensures every transformation and connection is visible, modifiable, and not hidden inside a black box.
For enterprise healthcare networks, where integration challenges are never one-size-fits-all, this combination is particularly valuable.
Iguana delivers what enterprise healthcare organizations need most in this new era:
Complete customization and control for the complex, large-scale challenges of healthcare integration.
Faster, more accessible development by pairing Iguana’s modular framework with the power of external AI coding assistants.
This is why Iguana stands out as the most future-ready integration engine. It harnesses the precision of code and the acceleration of AI, giving enterprises a unique advantage in an environment where adaptability is essential.
Healthcare is changing rapidly, and integration engines must evolve with it. The old debate of drag-and-drop versus code is no longer relevant. With AI in the picture, a code-based engine like Iguana offers the best of both worlds: limitless flexibility, paired with new levels of accessibility and speed.
For large hospital organizations and health networks, that combination is not only ideal. It is the way forward.