During a recent podcast, the same question surfaced yet again:
Why is interoperability in healthcare still so hard?
It’s a fair question — and one I’ve wrestled with for years. Despite tremendous progress in digitizing healthcare, connecting systems continues to create headaches for patients, clinicians, organizations, and payors.
We’ve poured enormous time, energy, and money into standards and integration technologies. The ecosystem today is far richer than it was even five years ago. Yet the pain persists.
Why?
A major reason is the relentless pace of change in healthcare. Data volumes keep climbing. New diagnostics, devices, and digital tools feed a firehose of information into already strained systems. Workflows grow more complex. Automation and AI add new dependencies.
Interoperability isn’t a one-time problem to solve. It’s a moving target — an evolving component of a living, growing healthcare landscape. Timelines are outpaced by change, and purely technical fixes fall short.
Still, I’m more optimistic now than ever. We finally have the tools, experience, and creativity to make interoperability work. What’s needed is a shift in mindset. Three disciplines form the foundation, no matter the budget or technology.
1. Let go of the silver bullet myth
There’s no single product that will “solve” interoperability. It’s tempting to believe otherwise, but too many projects fail because they focus only on technology, ignoring the operational bottlenecks that determine success.
New tools deliver real value only when they align with business objectives, infrastructure, and workflows. Without that fit, they’re just another shiny object.
2. Align on operational metrics and care delivery goals
Interoperability isn’t just about exchanging data — it’s about measurable improvements in clinical operations and patient care. Success requires clear metrics and coordination across people, processes, and technology.
Large organizations may have more resources to orchestrate this alignment. But smaller and mid-sized groups can compete — and even outpace larger systems — by being disciplined, focused, and deliberate in how they use technology. Done right, this makes them more attractive to patients, payors, and public health agencies.
3. Boil the ocean one kettle at a time
Too often, organizations approach interoperability through slow, monolithic deployments. Instead, smaller, faster projects reduce risk, cost, and disruption.
Start with the most urgent pain points. Use what you already have. Iterate and refine:
- Fix referral appointment drop-offs.
- Improve engagement for referring physicians and patients.
- Automate one critical workflow before scaling further.
This agile approach builds momentum, confidence, and tangible proof points. Better yet, it frees up time and cash to fund bigger milestones.
Bottom line
The path to pain-free interoperability starts with a mindset shift:
- Stop chasing silver bullets.
- Define success by outcomes in care and operations.
- Solve one problem at a time, then adapt.
We already have the tools to make meaningful change. Let’s not wait another 15 years to use them.
Coming up next: I’ll dig into strategies like hybrid platform landscapes, quick wins from agent-based and robotic AI, and ways to keep interoperability programs in step with clinical and operational change.
Healthcare interoperability is often contentious — sometimes even controversial. I’d love to hear your perspectives. Feedback, debate, and discussion are how we all get better — for patients, providers, and the system as a whole.