The Quiet Risk in Your Interoperability Strategy

Accountable care is changing fast. Quality measures shift, networks grow, payers ask for more data from more places — and the integration strategy that worked three years ago may not get you where you need to be three years from now. Complete, reliable data is now the foundation for everything an ACO does — quality reporting, risk stratification, care management, and the analytics underneath them all — yet getting it remains one of the hardest problems in value-based care.

That’s why many ACO and CIN leaders are stepping back to reassess. Not because their current approach failed outright, but because “good enough” interoperability has a way of quietly falling behind the demands placed on it. Below are the gaps that matter most — and what to look for as you future-proof your strategy.

Quality measurement is moving from manual review to digital reporting. As CMS and NCQA phase out manual chart review, the data your performance depends on increasingly has to come straight from the source — and what isn’t in your data doesn’t get counted.

You already know the mandates. The harder question is whether your integration can keep up with them. As manual chart abstraction goes away, there’s less and less opportunity to patch by hand what your integration can’t reach. And the measures themselves keep moving — when the breast cancer screening measure expanded its eligible age range to begin at 40 instead of 50, both the denominator and the numerator shifted to a larger population. Colorectal screening saw a similar move, now starting at 45. Each change means the data you have to surface is a moving target.

If your current integration can’t adapt in time when a measure’s requirements change, the gap shows up in your performance. That’s the quiet risk: whether the limitation sits with the EHR vendor, the interoperability vendor, or the integration method, you’re the one accountable for the data — and you’re often waiting on someone else’s update cycle to fix it.”

As you evaluate your strategy, assess whether your integration platform can adapt fast enough to reach the data your measures depend on — not just today’s, but whatever the next definition change requires.

A standard API extract pulls the discrete fields a vendor chose to expose. But much of the clinical detail that matters most never makes it into those fields — it lives in the body of the chart: progress notes, scanned documents, assessment narratives.

That detail does real work. It’s often what closes a quality measure, not just records it — the exclusionary criteria, the frailty indicators, the documentation that substantiates a risk-adjustment code. And its value extends well beyond quality reporting: the same unstructured data drives risk stratification, feeds predictive analytics, and tells your care management team who needs attention and why. When it’s out of reach, you’re not just missing a data point — you’re working from an incomplete picture of the patient.

If your integration can only see structured fields, the gap compounds. A measure goes unclosed because the supporting note never surfaced. A high-risk patient appears low risk because the detail that would have flagged them was buried. Care management works from less than the full story. That’s not a minor gap — it’s a hole in your ability to document the care you’re already delivering. And as quality measurement goes digital, that hole stops being something a chart reviewer can patch by hand.

When you assess a platform, confirm it can surface what lives outside structured fields — not just the data the vendor made easy to reach.

• Overcome API limitations — including the next quality-measure change, not just today’s.
• Reach unstructured data — the notes and documents where quality evidence lives.
• Exchange data bidirectionally — moving it back into the workflow, not just out of it.
• Reach deep into the long tail of EHRs — consistently, across the non-certified and legacy systems your network actually uses.

And before you commit, ask:

• How long until the first integration is live — and does that timeline hold across the long tail? “Weeks” for the easy ones and “someday” for the hard ones are not real answers.
• What does it require from the EHR vendor — and what will that dependency cost you in time and control?
• What does implementation require from your team? Significant coordination from clinic and IT staff, or does the platform handle the heavy lifting on its side? Ask directly: what do you need from us to get this done?
• Does it scale affordably — from five connections to fifty?

Interoperability was supposed to be solved by now. For most ACOs it isn’t — because connecting the largest EHRs got mistaken for connecting the whole network. The big systems came online, the dashboards filled in, and the gaps that remained were easy to overlook: the long-tail providers, the data buried outside structured fields, the flow that only ran one direction. That’s why so many organizations are rethinking their integration strategy now — not because today’s approach failed, but because the demands on it are only growing. Future-proofing means closing those gaps: reaching every provider, surfacing the data that’s hardest to reach, and moving it in both directions. 

If you’re working through any of these challenges, Smartlink Health Solutions helps ACOs, CINs, and HIEs build interoperability strategies that reach the entire network. Schedule a consultation to talk through your path forward.