Resources|Articles|August 20, 2026

Closing care gaps before the window closes

Key Takeaways

  • Fragmented data spread across 15+ applications creates blind spots that impede quality teams’ ability to identify and remediate care gaps.
  • Consolidation into a single solution can align quality measurement, clinical decision support, and prior authorization use cases within one workflow.
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How Smile Digital Health’s live-data foundation turns digital HEDIS® into action.

Healthcare quality teams have vast amounts of data, but much of it is fragmented, leading to gaps in care.

In this video, Rob Reynolds, the vice president of clinical intelligence for Smile Digital Health, talks about gaining insights from fragmented data and helping quality teams close gaps in care.

“You may have had 15 different applications to do these different use cases across these different specifications and corresponding different applications,” Reynolds says. “We're leaning in and we're combining them and saying, we're going to provide you an application that is capable of addressing your quality measurement needs, as well as your clinical decision support needs, as well as your prior authorization needs, etc.”

“Breaking down those silos in the technologies allows us to break down those silos in the applications and give broader solutions,” he says.

Smile runs digital HEDIS on continuous, governed FHIR data, evaluated in near real-time.

Watch the video for the full conversation with Rob Reynolds, and see how payers can detect open care gaps and route them to providers, closing gaps before the measurement window does.



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