How Health VCs Pick Winners - Rock Health Playbook with Sean Day

Healthcare investing is evolving fast, but one thing hasn’t changed: it’s still one of the hardest environments to build and scale a company.

In a new episode of Digital Health Interviews, we sat down with Sean Day, early-stage investor at Rock Health Capital, to unpack what actually matters when evaluating startups in 2026. From pre-seed conviction to the limits of AI hype, the conversation offers a grounded view of how capital, product, and healthcare realities intersect.

What emerges is not a playbook, but a pattern: the founders who succeed are the ones who understand that healthcare doesn’t reward speed, it rewards depth.

Why Healthcare Still Breaks Fast-Moving Founders

One of the most consistent themes in the conversation is time.

Healthcare is slow, structurally slow, and that reality shapes everything from investment strategy to product design. As Sean puts it, whether you’re an investor, operator, or enterprise stakeholder, you eventually learn the same lesson: progress takes longer than expected, and shortcuts rarely work.

That’s not just a matter of regulation. It’s a reflection of how fragmented and interdependent the system is. Clinical workflows, reimbursement models, data infrastructure, and trust layers all move at different speeds. Trying to “move fast and break things” in this environment often just means breaking your own company.

This is why patience isn’t just a virtue in healthcare, it’s a requirement.

For investors, that means backing founders who are prepared to operate on longer timelines. For founders, it means recognizing early that success won’t come from hacking growth loops, but from navigating complexity deliberately.

What Early-Stage Investors Actually Look For (Beyond the Pitch Deck)

Rock Health Capital operates at the earliest stages, often investing pre-product and pre-revenue, sometimes even at the “strong idea + strong founder” stage.

But that doesn’t mean the bar is low. It just means the evaluation criteria are different.

At this stage, Sean isn’t looking for polished metrics; he’s looking for clarity of thinking.

Founders who stand out are those who deeply understand:

• who their buyer is,

• how incentives flow through the system,

• what competing solutions already exist,

• and how their product fits into real-world workflows.

One of the clearest “yellow flags” he mentions is surprisingly basic: not knowing your competition. In healthcare, where solutions often look similar on the surface but differ in implementation and positioning, a lack of market awareness signals shallow thinking.

Equally important is the go-to-market strategy. A technically strong product without a credible path to adoption is rarely investable, not because the idea is bad, but because execution risk is too high.

Interestingly, team quality, often treated as the top VC heuristic, is harder to standardize than many assume. Sean explicitly rejects the idea of a universal checklist for “great founders.” Strong teams come in very different forms, and pattern-matching too aggressively can lead investors to miss unconventional but high-potential builders.

AI in Healthcare: Everywhere, and Not the Point

If there’s one area where hype and reality collide, it’s AI.

Sean’s perspective is refreshingly pragmatic: AI is already everywhere, but that doesn’t make it a differentiator.

In fact, we’re approaching a point where including AI in your pitch deck is as expected as mentioning “cloud” a decade ago. The real question is no longer whether you use AI, but how and where it creates defensibility.

More importantly, AI is not a system-level fix.

Healthcare’s core challenges - regulatory constraints, incentive misalignment, fragmented infrastructure - are not problems you can “AI away.” Technology can improve specific workflows, but it doesn’t eliminate structural complexity.

This is why Sean frames AI as a powerful tool, not a solution in itself. The most interesting companies are not those that center AI in their narrative, but those that use it to meaningfully improve outcomes or efficiency, sometimes even invisibly, through internal productivity gains rather than customer-facing features.

Why Value-Based Care Is Still So Hard to Scale

Value-based care has been a long-standing promise in healthcare, and a long-standing struggle.

According to Sean, the issue isn’t just incentives or contracts. It’s infrastructure.

To make value-based care work, the system needs:

• reliable data collection,

• consistent measurement frameworks,

• timely reporting,

• and operational alignment across stakeholders.

Many of these elements are still missing or underdeveloped. As a result, even organizations that want to shift toward value-based models struggle to execute.

This is where some of the most interesting startup opportunities lie, not in reinventing care delivery itself, but in building the underlying infrastructure that makes new models viable.

AI Scribes: A Rare Case of Clear, Immediate Value

In contrast to more abstract AI use cases, ambient scribes stand out as a category with obvious, immediate impact.

The problem they address, documentation burden, is universally acknowledged. Clinicians spend a significant portion of their time on administrative tasks, often at the expense of patient interaction.

Reducing that burden, even marginally, has outsized effects.

As Sean notes, giving a physician even one hour back per day is massive. It’s not just about efficiency; it’s about restoring focus and improving the quality of care.

That said, the category is still evolving. The long-term value may extend beyond note-taking into adjacent areas like revenue cycle management or clinical decision support. The winners will likely be those who can expand their role within the workflow without adding friction.

The Real Constraint: Matching the Right Founders with the Right Investors

One of the more subtle but important insights in the conversation is that not all startup failures are product failures.

Some are matching failures.

Healthcare is particularly challenging because investors vary widely in their understanding of the system. Founders may pitch to investors who simply don’t have the context to evaluate their solution properly, leading to missed opportunities on both sides.

This creates a “founder-to-investor matching problem,” where alignment matters as much as quality.

For founders, this means fundraising is not just about convincing anyone; it’s about finding partners who understand the space and are willing to engage with its complexity.

What Creates Conviction When Everything Looks Good

When multiple opportunities look equally strong - solid teams, clear markets, reasonable financials - what actually drives the decision?

Part of the answer is still instinct. As Sean admits, it’s hard to fully remove gut feeling from the process.

But beyond intuition, one factor stands out: market timing through external shifts.

Investors get particularly interested when something changes in the environment, a regulatory update, a competitive move, or a new technological capability that suddenly makes a problem urgent for buyers.

In those moments, demand is not hypothetical. It’s already forming.

Startups that align with these shifts have a structural advantage because they’re not trying to convince the market to care; the market already does.

Why 2026 Might Be a Turning Point

Despite all the challenges, Sean is notably optimistic about the current moment.

Not because of AI alone, but because of a convergence of maturity across the ecosystem:

• more experienced founders entering healthcare,

• investors who understand the space better,

• and enterprise buyers who have learned how to work with startups.

After a decade of experimentation, healthcare organizations are no longer approaching digital solutions blindly. They have “reps” - experience that makes adoption more realistic.

This alignment between builders, capital, and buyers creates a stronger foundation for new companies than in previous cycles.

Final Advice: Learn, Then Move

When asked for one piece of advice to founders, Sean keeps it simple: work hard and be patient.

But behind that simplicity is a deeper message.

The founders who stand out are not those who rush to build, but those who take the time to understand the system, the incentives, the stakeholders, and the constraints.

Healthcare rewards those who lean into that learning process, even when it slows them down.

Because in this space, speed without understanding isn’t an advantage.

It’s a liability.