In this episode of After the Chaos, Angela and Kandice reflect on what happens when early detection accelerates faster than the systems designed to act on it. As technologies like whole-body MRI make it possible to identify risk earlier than ever—often before symptoms appear—they are also generating a new challenge: an overwhelming volume of information without clear pathways to care.
The conversation examines a future where prevention could happen in a single visit, replacing today’s fragmented approach to screenings across multiple specialties. But while the vision is compelling, the reality is more complex. Healthcare today remains largely fee-for-service, symptom-driven, and reactive—leaving providers unprepared to interpret and manage preventative data from otherwise healthy patients.
Angela and Kandice unpack the growing tension between consumer demand for health insights and a system not designed to support it. They explore critical questions around ownership of follow-up, the evolving role of primary care, and whether new models of preventative and longitudinal care will emerge to fill the gap.
As AI continues to accelerate both data generation and decision-making, the episode highlights a central truth: information alone does not improve outcomes. Without infrastructure to translate findings into action, the risk is not just more data—but more missed opportunities for care.
Full Transcript
AI-generated transcript. Accuracy may vary; please excuse any transcription errors.
Angela Adams, RN:
Welcome to After the Chaos. We just wrapped our conversation with Dr. Dan Durand, and it was incredibly insightful. Kandice and I first saw him present at the Stanford Quality Summit and knew we had to have him on the podcast.
One idea he introduced really stuck with me: what if prevention could happen in a single visit? Instead of today’s fragmented system—mammograms, colonoscopies, prostate screening—what if preventative care became one unified experience?
Wouldn’t that solve many of the access and coordination challenges we see today?
Kandice Garcia, RN:
I loved that idea. You know how much work we do in population health—trying to get patients into screenings, managing follow-ups, coordinating annual exams. It’s incredibly complex.
I’ve been working on a health equity project for mammography in Wisconsin, and even getting patients into one screening is difficult. When you start layering multiple screenings across a year, it becomes overwhelming.
The idea of one visit for comprehensive prevention creates a vision of the future that simplifies access and transforms how health systems deliver care.
Angela:
Exactly. And I loved his analogy—healthcare today is like a Rand McNally atlas. It’s massive, fragmented, and hard to navigate.
What he said about AI becoming the GPS is powerful. Healthcare is moving from static maps only clinicians can interpret to dynamic, consumer-facing tools that guide patients directly.
And consumer expectations are changing. People will start demanding things like: “Why can’t I get all of my preventive screenings done in one visit?”
Kandice:
That’s exactly why this is gaining traction. It’s not just Prenuvo—many organizations are trying to reduce barriers for people who want access to this information, not just those who are already sick.
There’s a growing population of people who are healthy but want more insight into their bodies. The technology exists—but the system isn’t set up to support that kind of access.
And that demand is only going to increase.
Angela:
The challenge is that our healthcare system isn’t built for this. It’s fee-for-service, symptom-driven, and reactive.
This flips that model. Patients are saying, “Nothing is wrong—I just want to understand my health now so I can prevent issues later.”
But when someone brings a full-body scan with multiple findings to their primary care provider, the system isn’t prepared. Most providers are still asking, “What’s your symptom?”
Healthcare hasn’t caught up to the data now available.
Kandice:
And that’s the core issue. We can call it data and AI, but it’s really about information.
Just because patients have more information doesn’t mean they have access to care. Who is responsible for acting on that information?
Primary care providers are already overwhelmed. They aren’t structured to manage this kind of continuous, preventative data.
And if no one is acting on the information, then what is the purpose of collecting it?
That’s what concerns me—information without a clear pathway to care.
Angela:
Exactly. And it raises the follow-up problem.
If a patient gets this data, what happens next? Who helps them take action?
There’s an opportunity here to connect patients with next steps—whether that’s functional medicine, specialists, or longitudinal care pathways. But that infrastructure doesn’t fully exist yet.
Kandice:
It also creates an identity crisis in primary care.
Do providers evolve into this new model of preventative, data-driven care? Or do they remain focused on reactive medicine while a new category of care emerges?
I don’t think we know yet—but a shift is coming.
Angela:
And incentives matter. Right now, providers aren’t reimbursed for spending an hour walking through preventative data with a patient.
Until that changes, large-scale transformation will be difficult.
Another point he made that stood out: data is growing faster than doctors.
The volume of health data is exploding, driven by consumer demand. And healthcare systems aren’t prepared to manage it.
Kandice:
We’re already seeing this in areas like billing and coding. Any role focused on managing and moving information is at risk of automation.
AI is incredibly effective in those areas.
Clinical care is different—but even there, information gathering and synthesis are being transformed.
Anyone entering healthcare now has to ask: is this something AI can do? Because if it is, it probably will within the next five years.
Angela:
I also thought his perspective on leadership was powerful.
He talked about evolving to a stage where leadership means talking less, hiring great people, and getting out of the way.
That idea—that great leadership is about enabling others—is something we consistently see in the most effective organizations.
Kandice:
Absolutely. The best leaders pave the way and then step aside. That allows expertise to scale and innovation to move faster.
Angela:
I’ll close with this—he made a great point about how medicine often reacts to innovation with skepticism.
Urgent care was once criticized, and now it’s everywhere.
We’re seeing the same pattern here. Prenuvo may be early, but many academic centers are now building similar models.
And what excites me most is the data. For the first time, we have large-scale imaging data from predominantly healthy populations.
The research potential is incredible.
