If you've been handed a health tech deal to vet and a list of questions to run down, start here. Financial diligence models the returns and technical diligence reads the code, but neither tells you whether the company can actually work inside the way health plans, payers, and insurers buy and pay for care. That's the operational due diligence I do for venture capital and private equity firms, as the advisor they bring into the room, not a name they never see again after one call.
Why do health tech investments fail after diligence passes them? Almost always for one reason a financial model and a code review can't catch: the company can't plug into how payers actually operate.
The economics don't survive contact with real underwriting. The integration a founder describes in the pitch doesn't exist in a form a health plan can consume. The go-to-market assumes payers behave in ways they don't. None of that is a code problem or a spreadsheet problem, so a technical review and a financial model both pass the company through. The failure shows up eighteen months later, when the revenue that justified your valuation never arrives.
I've spent nearly twenty years inside the operating side of this market. I read a company the way the payers it needs to sell to will read it, and I tell you where it breaks.
Most people who understand payer operations at this depth stay siloed inside one organization. The ones who advise across the market usually don't have the operational depth. I'm the rare seat that has both.
Healthcare is one of the hottest sectors for venture capital right now, and one of the most convoluted. A pitch lands, the market looks huge, the returns pencil, and most investors still don't know which questions actually separate a company that will work from one that won't. These are the questions to start with, from the broadest down.
Healthcare is roughly a fifth of the economy, obviously broken, and obviously expensive, so it reads as the perfect target for a technology fix. Fertility and infertility benefits, women's health and menopause, mental and behavioral health, physical therapy and musculoskeletal, telehealth and virtual primary care, diabetes and cardiometabolic, GLP-1 and weight management, oncology support, cost-containment and MRI imaging plays, reference-based pricing, cash-pay vendors and healthcare marketplaces, medical bill and EOB analyzer tools, tech-enabled payers, and claims adjudication platforms are all drawing capital right now. Each is a real problem with real spend behind it, and a sharp product can look like it prints money. That's the draw, and it's not wrong.
The trap is that the size of the problem tells you nothing about whether a company can get paid to solve it. Healthcare is the rare market where the person receiving the service, the person delivering it, and the person paying for it are three different parties, and the one who pays is the one nobody in the pitch understands. That's the gap I work in.
Market thesis · Why healthcare · Why nowRarely the technology. The product is usually sharp and the topic is hot, whether it's a fertility benefit, a mental health platform, a physical therapy or MSK solution, a telehealth service, or a cost-containment play. What breaks them is the payer. They don't understand how to plug into a health plan, they can't produce the reporting a plan needs to see, and their cost-saving story doesn't line up, philosophically or technically, with the heartbeat of the industry, which is the payer and the TPA that administers the plan.
The deeper failure is underwriting. The benefit a point solution offers is often one that underwriting doesn't cover in the first place. So even when the solution is genuinely good, it never plugs into how the plan is funded, and a solution the plan won't fund is a solution with no path to scale. I can tell you in one read whether a company understands that or is about to learn it with your money.
Failure points · Payer fit · UnderwritingThe general venture question, and the one you should ask first: is anyone else already doing this, and is the window closing? In healthcare there's a sharper way to answer it. New benefits almost always get adopted by self-funded employer plans first and move into fully insured coverage years later, so where a solution sits on that curve tells you whether it's early with runway ahead of it or late to a market that's already consolidating.
Saturation in healthcare also hides. A category can look wide open because no incumbent has a consumer brand, while a handful of players quietly own every payer relationship that matters. I tell you which kind of empty you're looking at.
Market saturation · Adoption curve · RunwayWhether the product is a cheaper MRI through a cost-containment vendor, an infertility benefit, a mental health platform, a musculoskeletal or physical therapy solution, or a diabetes program, the question is the same: will anyone actually pay for it, and which payer is that? Founders answer with a hand-wave, "payers will cover it." Which payer? A self-funded employer, a fully insured carrier, the member out of pocket, a provider group? Each one buys differently, on a different cycle, for different reasons, and a company built for the wrong payer runs out of money before its first real contract.
I trace the actual dollar: who writes the check, what has to be true for them to write it, and how long that takes. If the honest answer is that nobody in the payment chain has a reason to pay, that's the finding, and it's better to have it before the wire than after.
Buyer · Reimbursement · Willingness to payA generalist looks at an infertility solution, a cash-pay MRI product, or a direct-to-consumer telehealth play, sees that people already pay out of pocket for it, and concludes the company can skip insurance entirely. That's the question that separates a nice business from a category-defining one, and it's easy to get wrong. The cash market looks like proof of demand, and you can build a real company selling to consumers directly. But that ceiling is low: you're limited to the people who can find you and afford to pay cash on top of the premiums they already carry, and adding another out-of-pocket healthcare cost is exactly where consumers freeze.
The reason to go through the insurance and payer channel is reach. About 310 million Americans, roughly 92 percent, have health coverage, and employer plans alone cover around 154 million people, most of them in self-funded plans. If a solution plugs into the plan, the plan pays for it and the member gets it as a benefit, so the individual isn't reaching into their own pocket at all. That removes the single biggest block to adoption and puts the product in front of an entire covered population at once instead of one cash-pay customer at a time. That's how a point solution becomes a household name instead of a boutique.
So the real diligence question isn't whether a company can sell to consumers. It's whether it has a credible path into the payer channel, because that path is the difference between a niche and the whole market. I tell you whether that path is real or wishful.
Distribution channel · Cash-pay ceiling · Payer reachCash-pay vendors, tech-enabled payers, and insurance-disruptor marketplaces are among the hottest categories in health tech right now, and they fall into two kinds. One is a consumer marketplace where an individual, often underinsured or uninsured because they don't want to carry large premiums, shops for care at a cash-pay rate outside their plan. The other is a cash-pay vendor that partners with an employer-sponsored health plan to pay claims in cash, up front, negotiated directly with the provider instead of running through the network. Both are genuinely interesting, and both are full of pitfalls the founders usually haven't hit yet.
On the consumer marketplace side, a cash rate looks great until something goes wrong. What happens with balance billing? What happens in a catastrophic case, a car accident, a long hospital stay, when the cash-pay logic falls apart and there's no plan behind the member? Those are the scenarios that scare a consumer off, and a solution that hasn't answered them isn't ready for the market it's pitching.
On the cash-pay-through-the-plan side, I've implemented, integrated with, and vetted multiple of these platforms, and I know exactly where they fail and where the fraud gets in. Founders describe a clean idea and miss the levers: how the stop-loss carrier treats it, access to funds to pay up front, and hospitals that submit one claim to the network and another on the cash-pay side so the plan pays twice. They also misread the providers. They pitch same-day payment as the hook, but speed of pay isn't the lever they think it is. Providers want clean, correct, reliable payment more than they want it fast. I know which questions surface those failure points, because I've lived through them.
Cash-pay · Marketplace risk · Fraud · Stop-loss · Provider realityA product can be excellent and still die in the sales cycle. Selling to health plans and large employers can take a year or more per deal, runs through brokers and benefits consultants the founder may not even know exist, and lands on a January renewal calendar that waits for no one. A startup that models SaaS-speed adoption against a market that moves once a year has a burn problem it hasn't priced.
I pressure-test the go-to-market against how the buying actually happens, including the gatekeepers in the middle, so you know whether the growth curve in the deck is possible or fiction.
Sales cycle · Distribution · Go-to-market realismHealthcare scares generalist investors because the rules are dense, so regulatory risk gets either ignored or wildly overestimated. Both are expensive. A company can be sitting on a compliance cost it hasn't budgeted for, or it can be building elaborately toward a requirement a regulation doesn't actually impose.
I've contributed to federal rulemaking on the No Surprises Act and the CARES Act, so I can tell you the difference between what a regulation requires and what the market assumes it requires, which is often the difference between a real cost and an imagined one.
Regulatory exposure · Compliance costThe general questions tell you whether it's a good company. The healthcare questions tell you whether it can survive the one industry that decides. I help you ask both, then I answer the second.
These are the questions to ask when doing due diligence on a health tech point solution or startup. Each one runs from what any investor needs to know down to the specifics the market itself will test. If the depth gets unfamiliar as you read, that's the point. It's exactly the depth the company's future payer customers will bring, and exactly what most diligence never reaches.
Before anything specific to healthcare, ask the ordinary venture questions: Is this market big enough to matter, or is it already crowded with the same solution? Why now? Is the traction real? Those still decide the deal. In health tech, though, they all resolve to one thing the money is chasing right now: focused, tech-enabled point solutions, a cost-containment play for dialysis, a narrow-network build for physical therapy, a digital platform for one slice of care. They look sharp and they demo beautifully. But almost all of them depend on getting adopted by health plans and insurers to reach scale, and that's where the polish stops mattering.
The first question I ask on any of these is whether the solution can plug into how plans are financed and administered at all, or whether it only works in a slide.
Market fit · Adoption path · Payer readinessThe backbone of the economics for most of these companies is the self-funded, or self-insured, employer plan. That's where a new solution can get adopted first, because those plans control their own benefit design. But a solution only lands there if it fits how those plans are underwritten and priced. If it doesn't fit underwriting, if it costs more than the value it can prove, or if its model simply doesn't pencil against a self-funded plan's economics, it won't get traction with the plans, and without the plans it won't reach the insurers and payers it's counting on.
I model the solution against the actual levers a self-funded plan pulls, and tell you whether the revenue story holds or collapses.
Underwriting fit · Unit economics · Self-funded viabilityThere's a pattern worth pricing into any valuation. When a new benefit takes hold, it almost always shows up in self-funded plans first, and only later moves into fully insured coverage. Chiropractic, acupuncture, massage, and ABA therapy all followed that path: self-funded adoption first, fully insured adoption years behind it. That order is a forecasting tool. Where a solution sits on that curve tells you whether it's early with a real runway ahead of it, or chasing a market that's already consolidated.
I place the target on that curve so you know whether you're funding a growth story or a latecomer.
Adoption trend · Market timing · RunwayA large share of the founders and executives building these companies don't yet know the difference between self-funded and fully insured, how each one operates, or which levers move them. I've sat across from a founding chief officer of a women's health company, building a payer go-to-market, who couldn't draw that distinction. That gap isn't disqualifying on its own, but it's a material risk you should price, because it determines whether the go-to-market plan you're funding is built on how the market actually works or on how the founder assumes it does.
I tell you plainly where the team's understanding of the payer world is solid and where it's a hope dressed as a plan.
Team assessment · Go-to-market realismThis is one of the questions investors ask most and rarely get answered: who does a health tech startup actually need to hire to make its solution work inside the insurance and payer space? A lot of genuinely brilliant technical founders scale their engineering and product but keep the operational and payer expertise thin, because they don't know enough to interview for it. So they hire someone who looks like they hit every mark, and it isn't until the fifteenth question that the floor shows up. The bench ends up several layers shallower than the cap table assumes.
I assess whether the people in the seats can take the solution to scale, and where they can't, I tell you the specific roles and the depth of payer operations experience that have to come in before the growth plan is real.
Team diligence · Key hires · Payer operations expertiseThis is the enterprise software that sits at the heartbeat of a payer: the core administration and claims adjudication system, sometimes called a core payer platform or the engine behind a modern TPA, that decides how every claim gets paid. The established names are Facets, QNXT, VBA, and PLEXIS. When the target is one of these platforms, or a tech-enabled company that has quietly built its own adjudication engine, the diligence is different from a condition-specific point solution, and most investors don't know what to look at.
I grew up inside one of these companies, so I read them from the source. The first question is identity: is this a genuine enterprise software company or a SaaS product? Confusing the two is where they break. The second is whether the build reflects the people who actually use it. These systems get written by strong engineers without a true subject-matter expert who understands what it takes to adjudicate a real claim on a real self-funded plan, and that gap is where the failure points hide.
Those failure points are not menial, and there are far more of them than any one list captures. A few examples of what I look at: how deeply a plan can be configured, so a highly customized self-funded plan doesn't let claims slip through auto-adjudication that never should have; whether benefits are truly validated on the claim; how it handles split claims, reinsurance and stop-loss, accumulators, and coordination of benefits; whether eligibility feeds and repricing run cleanly, in-house or plugged into a repricer, without falling back on manual workarounds; whether it can integrate with point solutions and other vendors through real API access, and whether the payer that owns the plan can get at that access at all; whether code sets like CPT and ICD-10 are maintained by the platform or dumped on the end user to update every quarter; and whether the software can move with where the market is going, direct-to-employer contracting, cash-pay options, marketplace models, and wrap or narrow network strategies, rather than technically supporting them but being too tangled to use.
Miss enough of these and the underwriter or the stop-loss carrier can come back and deny claims after they've been paid, which puts real financial strain on the plan. That's why a company that has built its own adjudication system is usually a flag, not because it kills the deal, but because it tells you where the money is really going to have to go. I've vetted platforms with heavy funding behind them that were being pushed to market nowhere near ready, and I can tell you which of those you're looking at. The real list is long, and it only comes out by examining the specific system.
Core administration · Claims adjudication · Software vs. SaaS · Plan configuration · API access · Reinsurance & stop-lossA different profile and a different failure mode: an established health service organization with real success in one sector or region, looking for the capital to expand nationally or build a bigger brand.
An organization can be excellent in its home market and still hit a wall going national, because the things that worked at regional scale don't survive the jump. The operations, the technology systems, the leadership bench, and the internal practices that carried it this far become the exact things that break the expansion. I've worked directly with organizations making this move, including facilitating board-level strategic planning for a physician-hospital organization deciding how to take its care management and steerage model national.
I know where these break because I've been inside the rooms where the decision gets made.
Scale readiness · Systems · LeadershipThe most common way a national expansion breaks is the integration layer between the organization and the payers it serves. What holds together across a handful of relationships in one region falls apart when the footprint multiplies, because the organization can't support those integrations at the new scale. I find those breakpoints before the capital goes in to fund the expansion, so you know what has to be true operationally for the growth thesis to hold.
Integration risk · Expansion breakpointsWhen the target is the infrastructure itself, a third-party administrator, a repricer, a managing general underwriter, a pharmacy benefit manager, or a utilization management, case management, medical management, or care management organization, the diligence question is whether the operation is as sound as the pitch. I read a claims file and tell you whether a problem is configuration, contract, or execution, and which party owns it.
For a third-party administrator, I look at how claims actually adjudicate, whether service levels are real or aspirational, how the shop is staffed against the book it carries, and where the turnover sits. Churn in leadership, account management, or product is a very different signal than churn in a claims queue.
For a repricer or an MGU, I go at the economic model and the operational reality behind it: whether the repricing holds up against the contracts, whether the underwriting discipline is real, and whether the growth the seller is projecting is something the operation can actually deliver.
I know which system limitations are genuine constraints and which are a vendor's unwillingness dressed up as a constraint, because I've been on both ends of that sentence. I know what a sophisticated benefits consultant asks in a finals room, because I've been the one answering. And I know the difference between what a regulation like the No Surprises Act actually requires and what the market assumes it requires, which is often the difference between a compliance cost that's real and one that's imagined.
The output is the same across all of it: a clear read on where the operation is strong, where it's thin, and what you'd be buying into.
Cost containment and alternative reimbursement, reference-based pricing, narrow and wrap networks, direct contracting, are one of the hottest and most misunderstood corners of this market, and one I've lived from every side. I built and ran alternative reimbursement programs at a TPA, implemented reference-based pricing as the HR leader inside an employer, worked at an organization whose entire market play was cost containment and alternative reimbursement, and built a company around it. I've also been the member on the receiving end of one of these programs, so I know exactly what it feels like when it works and when it doesn't.
That's the failure point most of these companies share. The product is genuinely good at bringing down the employer's cost of care, and it's built and sold entirely around that number. What it stops looking at is the member. A strategy that saves the plan money but exposes the employee to a balance bill, or to the stress of a fight with a provider, isn't the win it looks like on the sales sheet, and it shows up later as disruption, complaints, and lost accounts.
The other blind spot is the provider side. A reimbursement model only works if hospitals and providers will actually accept it, and many of these companies haven't stress-tested their model against a real provider landscape, or they have and the pain isn't worth the savings. If you're investing, you need to know that some of the capital is going to have to fund that stress-testing, or the work to mitigate it, and I tell you which.
Then there's the question the economic model never captures: what actually makes one of these products sticky. The savings win the deal. The headache is what loses the account. You can have extraordinary savings on a reference-based pricing program, a narrow network, international pharmacy sourcing for specialty medications, or an alternative reimbursement play for infusion services, and still lose the plan, because managing those services is where it falls apart. On a two-thousand-life plan, it doesn't take a revolt. Three members who can't get their medication on time, or who land a balance bill and complain to HR all year, can end it. HR gets tired of being blown up, decides it isn't worth it, and moves back to a standard program. Those failure points are subjective and human, they never show up in the model, and you only see them coming if you've lived inside these programs. I have, from every seat, including as the member holding the bill.
Cost containment · Reference-based pricing · Member impact · Provider acceptance · Retention & stickinessShort posts, one diligence question each. The answer comes first, then the mechanism behind it, then what to ask for in the data room. Written for the associate running the process, and for the founder who has to answer.
Home infusion, imaging navigation, centers of excellence, international sourcing. Whether the differential gets built, enforced, and acted on by a member facing their own doctor, and what a founder’s answer tells you.
Plan coverage, payer integration, how the service gets paid, and the provider-side failures that kill utilization before the plan sees a claim.
Savings against what, who counts it, what the fee is charged on, and what the plan actually paid once the provider responded.
What the auto-adjudication rate hides, where the manual work lives, how to read eligibility and retention, and what to request in the data room.
Single-target diligence. One company, vetted before an investment or acquisition decision. You get a written read on the operational, economic, and integration risks, sized and prioritized, with the questions to take back into the deal.
Your named healthcare advisor. Not a one-off call. I work with a small number of funds as the healthcare operating advisor across their pipeline, in diligence and in the room with the partners, the kind of person a firm names on its site because I'm genuinely part of how the deal gets decided. Ongoing, so I already know your thesis when the next target lands instead of starting cold.
Post-close advisory. Once you own the company, the failure points I flagged in diligence become the roadmap. I can stay on to help the operation close them, through Patron Health's operator advisory practice.
Quoted against scope before work begins. I don't work on contingency, a share of the deal, or carry, and I don't take equity for advisory work. My read is only worth something if nothing about the outcome changes what I tell you.
Nearly twenty years on the operating side of the self-funded and payer market, plus capital-markets experience on all four sides of a deal. That combination is what lets me tell you whether a company works, rather than whether it looks good. And it's why funds put me in the room, not just on a call.
I've led VC pitches as a co-founder raising for a company I helped build from the ground up. I've advised organizations going to market to raise from venture capital. I've taken an established organization to market to source private equity investment and an outright purchase. And I've joined a company after its private equity investment and worked through the restructuring that followed. I've been vetted, and I've done the vetting.
I spent the last stretch of my career inside a bootstrapped startup, so I know the failure points that don't show up in the product or the market: what breaks in leadership, what breaks internally, and how a company talks about itself in a diligence room versus what's actually true. When point solutions came to that company hoping to integrate, one meeting was usually enough to surface where their model fell apart. That's the read I bring to a target.
The work I want most is the room where we take the deal apart together. You're about to put real capital behind something you believe in, and that decision deserves a hard, honest conversation before the check clears, not after. I'm there to pressure-test the thing in front of us, name the pain points nobody wants to raise, and land on a go-forward strategy you can actually stand behind. That's the part of this I love: not the report, the room.
I've built and deployed community-owned health plans, negotiated directly with health systems, launched first-of-their-kind products, and scaled operational teams from early stage through maturity. I've contributed to federal rulemaking on the No Surprises Act and the CARES Act, and I co-chair the SPBA Transparency Taskforce. I stay current by working inside these organizations, which is what keeps the read accurate instead of five years out of date.
BS Health Care Administration, minor in Project Management, George Fox University
MBA Finance in progress, Southern Utah University
SHRM-CP · Lean Six Sigma Black Belt
A single point solution you're weighing, a TPA or MGU on your buy list, or a whole pipeline you want a standing healthcare advisor across. Whether it's one deal or an ongoing seat with the fund, describe it and I'll tell you honestly whether I can help and where I'd start.
Bozeman, Montana
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