HIT Summit 2025

Novellia was honored to be part of this year’s Healthcare Improvement Trailblazers (HIT) Summit in Washington, D.C.—a gathering of evidence, quality, and data leaders focused on making real progress in real-world care.

Unlike many industry events, this wasn’t about buzzwords or big promises. It was a grounded, working session centered on the everyday realities of evidence generation, clinical variation, and the urgent need to make RWE truly actionable in support of patient-centered care.

Leaders from AstraZeneca, Daiichi Sankyo, Pfizer, Boehringer Ingelheim, and other organizations brought diverse perspectives—but the same core challenge kept surfacing: we have more data than ever, but we’re still struggling to connect the dots.

Across functions, company sizes, and therapeutic areas, we heard strikingly similar concerns: the insight-to-action gap is real, and it’s costing teams both time and traction.

What We Heard

This wasn’t a theoretical discussion. It was a working session grounded in experience—and frustration. A few themes stood out:

1. “If you’ve seen one health system…you’ve seen one health system.” Variation in care delivery isn’t just a clinical reality—it’s a strategic one. Whether you're designing evidence plans, field strategies, or educational tools, it’s critical to reflect how care actually happens across diverse, real-world settings. Insights built on narrow or academic datasets rarely scale.
2. “Technology offers a powerful way to overcome the transactional nature of healthcare, because it is inherently integrated.” The real promise of AI isn’t speed—it’s connection. By linking fragmented records and surfacing meaningful patterns, AI helps teams move beyond static reports toward dynamic, narrative-driven insight. Integration done right means you can finally see the full picture—and act on it.‍
3. “The truth is in the data.” But only if you can get to it. Raw data is rarely useful on its own. When it's messy, disjointed, or missing context, even strong analysis can fall flat. To make insight usable—whether for strategy, access, or care—you need clarity, structure, and narrative.

Novellia’s Point of View: Start with the Story

At Novellia, we believe that structured data isn’t enough. Teams need structured narratives.

That’s why we built our platform to transform fragmented EMRs into full, sequential patient timelines that surface why decisions were made—not just when. Our AI models stitch together tens of thousands of disparate records and use pattern recognition to reveal the real-world journeys that often get missed by traditional data partners.

Here’s what sets us apart:

• Clarity-first AI. Our models clean and organize data into coherent stories—highlighting signal, not just volume.
• Insight-ready outputs. We deliver field- and regulator-ready narratives, not raw spreadsheets.
• Cross-functional usability. Our outputs are built to be understood across teams—from clinical to commercial—because the story doesn’t matter if no one can use it.

We’ve seen how this approach changes what’s possible: identifying early signs of treatment failure, correcting misperceptions around adverse event incidence, and equipping access teams with evidence that actually sticks.

Four Questions Every Evidence Leader Should Be Asking

Based on the conversation in DC, here are four questions we believe every team should be asking:

1. Can your data tell a full patient story—across care settings and time? If not, you’re likely missing the “why” behind outcomes.
2. Are your insights built for communication, not just accuracy? If HEOR, medical, and commercial teams can’t use them, they’re not complete.
3. Do you understand care variation—beyond academic centers? If your dataset doesn’t reflect the realities of community care, you may be missing key risks or gaps.
4. Are you still retrofitting insights from legacy snapshots? Today’s evidence strategy requires longitudinal, real-time clarity—not just retrospective reporting.
   
   

Let’s Keep This Conversation Going

What we heard at HIT reinforced something we see every day: it’s not about having more data—it’s about making it make sense. 

We’re continuing to dig into this with teams across the industry. If you’re thinking about the same things, we’d love to talk.