Vertical Spotlight: Healthcare SaaS

By Ryan Vanshur

Also published on the Guild Letter: Read the original issue.

Subscribe now If you’re building healthcare SaaS and wondering why that hospital CMO who loved your demo six months ago still hasn’t made a decision, welcome to the vertical where sales cycles are measured in fiscal years and “fast implementation” means 18 months. This is the market where Epic controls 42.3% of hospitals with software that looks like it was designed in 1997 but is so deeply embedded that switching would cost $50 million and 3 years of organizational trauma. Where Oracle bought Cerner for $28 billion and managed to lose 74 hospital sites in a single year because they underestimated how much hospitals hate change. Market Size: $25-35B today, heading to $74-95B by 2030. Sounds massive. It is. But it’s also the most brutal vertical SaaS market you can enter because healthcare doesn’t want innovation. Healthcare wants reliability, compliance, and software that doesn’t kill patients. Let me explain why this market is different from everything else, and how to actually sell into it without burning $10M learning what Epic figured out 30 years ago. The Healthcare Landscape (Why Everything Takes Forever) Healthcare isn’t one market. It’s five completely different markets masquerading as a single vertical. Market 1: Hospitals and Health Systems Customer : 6,000+ hospitals, 1,000+ health systems Buyer : CIO, CMIO (Chief Medical Information Officer), CFO Budget : $10M-$100M+ for core systems Sales Cycle : 18-36 months (sometimes longer) Archetype : Pure Archetype 1 (Enterprise Mission-Critical) This is Epic territory. $5.7B revenue, 42.3% market share, customers who’ve used them for 15+ years. Epic rejected a $30B acquisition offer because they don’t need the money and they know they’ve built an unassailable position. Market 2: Physician Practices Customer : 200,000+ physician practices (1-50 doctors) Buyer : Practice administrator or physician owner Budget : $50K-$500K annually Sales Cycle : 3-6 months Archetype : Archetype 2 (SMB Community-Driven) This is Athenahealth , eClinicalWorks, NextGen territory. Software that handles scheduling, billing, EHR, patient communication. Doctors hate switching these systems because retraining staff is a nightmare. Market 3: Specialty Clinics Customer: 50,000+ specialty clinics (dermatology, cardiology, oncology, etc.) Buyer: Clinical director or practice owner Budget: $50K-$200K annually Sales cycle: 3-6 months Archetype: Archetype 2 with specialty-specific workflows Each specialty has unique needs. Dermatology needs photo documentation. Cardiology needs cardiac imaging integration. Oncology needs chemotherapy protocol management. Generic EHRs don’t cut it. Market 4: Payers (Insurance Companies) Customer: 1,000+ insurance companies Buyer: CTO, VP of Operations Budget: $5M-$50M for core systems Sales cycle: 12-24 months Archetype: Archetype 1 (Enterprise) Claims processing, prior authorization, member management, fraud detection. This is where companies like Change Healthcare (acquired by UnitedHealth for $13B) operate. Market 5: Life Sciences (Pharma, Biotech, Med Device) Customer: 5,000+ pharma/biotech/device companies Buyer: VP of Clinical Operations, CTO Budget: $500K-$10M annually Sales cycle: 6-18 months Archetype: Archetype 1 or hybrid This is Veeva territory. Clinical trial management, regulatory compliance, commercial operations. Veeva is worth $30B+ because pharma companies can’t run clinical trials without them. Most founders make the mistake of thinking “healthcare is healthcare.” It’s not. Selling to hospitals is completely different from selling to physician practices. Pick your segment and commit. Why Epic Dominates (And Why You Probably Can’t Beat Them) Let’s talk about Epic because understanding why they win tells you everything about healthcare GTM. Epic’s Moat #1: They Own the Data Epic isn’t just software. It’s the system of record for patient care. Every medication administered. Every diagnosis made. Every test ordered. For 15+ years. A hospital considering switching to a competitor has to answer: How do we migrate 5 million patient records? What if something goes wrong and we lose critical medical history? What if a patient dies because we couldn’t access their allergy information during the migration? Nobody wants to be the CIO who greenlit the EHR switch that killed someone. So they stay with Epic. Epic’s Moat #2: Network Effects Through Interoperability Epic customers share patient data through Care Everywhere (their network). 42.3% of hospitals use Epic. When a patient moves from Epic Hospital A to Epic Hospital B, the medical records transfer seamlessly. If you’re a hospital using Epic, switching means losing instant access to patient records from 42% of other hospitals. That’s a massive clinical risk. Epic’s Moat #3: They’re Vertically Integrated Epic doesn’t just do EHR. They do everything. Scheduling, billing, claims, patient portal, telehealth, population health, analytics. One vendor, one system, one throat to choke when things break. Competitors offer “best of breed” point solutions. Sounds good until you realize integrating 15 different vendors is a nightmare that costs more than Epic’s all-in-one solution. Epic’s Moat #4: Implementation Excellence Epic sends armies of consultants. They don’t let hospitals cut corners. They’re more concerned with successful go-lives than maximizing short-term revenue. Compare this to Oracle. Oracle bought Cerner, cut implementation teams to boost margins, customers went live with broken systems, hospitals revolted. Oracle lost 74 sites in 2024. Epic gained market share. This is why you can’t beat Epic head-on. You need to find gaps they don’t serve or segments they ignore. Where Epic (And Oracle) Are Vulnerable Epic dominates large hospitals and health systems. But they’re weak in three areas: Gap 1: Small Hospitals and Critical Access Hospitals Epic’s minimum deal size is effectively $10M+. Small hospitals (under 100 beds) can’t afford that. This creates an opening for mid-tier EHR vendors. But the economics are tough. Small hospitals have small budgets. You need volume to make the math work. Gap 2: Specialty Workflows Epic builds for general acute care. They’re mediocre at specialty-specific workflows (oncology protocols, behavioral health, long-term care). This is where vertical niche players can win. Build the best dermatology EHR or the best oncology protocol management system. Integrate with Epic for the core EHR. Own the specialty workflow. Gap 3: Point Solutions That Sit on Top Epic doesn’t innovate fast. They’re a 50-year-old company optimizing for reliability, not rapid feature releases. This creates opportunities for point solutions. AI clinical documentation that integrates with Epic. Prior authorization automation that works with any EHR. Medical coding assistants. You’re not replacing Epic. You’re augmenting them. Epic tolerates this because it makes their platform stickier. Subscribe now The Healthcare GTM Playbook (How to Not Burn $10M) Okay, you’ve picked your segment. Now how do you actually sell without dying? Step 1: Accept That Sales Cycles Are 12-24 Months You can’t compress this. Hospitals have procurement processes. Budget cycles. Committee approvals. Implementation planning. If you’re expecting 3-month sales cycles, you picked the wrong vertical. Go sell to restaurants instead. Your burn rate needs to support 18+ month sales cycles. Plan accordingly. Step 2: Build Deep Clinical Credibility Early Your AE can’t just be good at sales. They need clinical knowledge. If you’re selling to cardiologists and your AE doesn’t know what an echocardiogram is, you’ve already lost. Hire former clinicians as sales engineers or account executives. They speak the language. They understand workflows. They build trust faster. Step 3: Compliance Is Non-Negotiable (HIPAA, HL7, FHIR) HIPAA isn’t a nice-to-have. It’s the law. If you screw up patient data security, you’ll get fined millions and lose your ability to operate. Budget $50K-$200K for HIPAA compliance initially. Ongoing annual costs: $100K-$300K for audits, security, compliance staff. HL7 and FHIR are healthcare integration standards. If you don’t support them, you can’t integrate with existing EHRs. And if you can’t integrate, hospitals won’t buy you. Budget $500K-$2M for integration engineering. This isn’t optional. Step 4: Pricing Needs to Justify ROI in Hard Dollars Healthcare CFOs don’t care about “improved clinician satisfaction” or “better patient experience.” They care about: Will this save money or generate revenue? Your pitch needs to show: Labor savings (reduces nursing time by X hours/week) Revenue capture (improves charge capture by Y%) Cost avoidance (reduces readmissions, avoids penalties) Generic value props die in healthcare. Quantified ROI wins. Step 5: Implementation Is Where You Win or Lose Your software might be amazing. But if implementation takes 24 months instead of the promised 12, and requires 3x the estimated staff time, your customer will hate you forever. Under-promise and over-deliver. If you think implementation takes 12 months, tell the customer 18 months. When you finish in 14 months, you’re a hero. Oracle learned this lesson the expensive way. They promised fast Cerner implementations. Delivered disasters. Lost 74 sites. The AI Opportunity in Healthcare (Finally, Some Good News) Healthcare is ripe for AI disruption. Not “replacing doctors” AI. Practical, workflow-improving AI. Opportunity 1: Clinical Documentation ($5B+ market) Doctors spend 2 hours on documentation for every 1 hour with patients. They hate it. It causes burnout. AI clinical documentation (Nuance DAX, Abridge, Suki) listens to patient encounters, generates clinical notes automatically. Doctors review and approve. Time saved: 1-2 hours per day per doctor. Market : 1 million physicians × $5K-$10K annually = $5-10B market. Opportunity 2: Medical Coding ($3B+ market) Medical coding translates clinical notes into billing codes. It’s tedious, error-prone, and delays reimbursement. AI coding assistants read clinical notes, suggest appropriate codes, flag errors. Revenue cycle time drops from 45 days to 30 days. Cash flow improves. Market : Every hospital and physician practice needs this. Opportunity 3: Prior Authorization Automation ($2B+ market) Prior authorization is where insurance companies require approval before covering certain treatments. It’s bureaucratic hell. Takes 2-5 days. Delays patient care. AI prior auth tools auto-submit forms, check status, escalate denials. Time drops from 3 days to 3 hours. Doctors would pay serious money to eliminate this pain. Opportunity 4: Clinical Decision Support AI that suggests diagnoses based on symptoms, flags potential drug interactions, recommends treatment protocols based on latest evidence. This is early. Liability concerns are real. But the clinical value is obvious. Expect 5+ year timeline before widespread adoption. The Metrics That Matter in Healthcare SaaS Traditional SaaS metrics apply but healthcare has unique characteristics. Implementation Success Rate: What percentage of implementations go live on time and on budget? Target: 80%+. Below 70% and your reputation gets destroyed. Clinical Adoption Rate: What percentage of clinicians actually use your software vs. workarounds? Target: 80%+. If only 50% of doctors use your system, you’ll get ripped out eventually. Support Response Time: Healthcare operates 24/7. If your system goes down at 3am, patients could be harmed. You need 24/7 support with <15 minute response time for critical issues. Regulatory Compliance Uptime: HIPAA audits, HL7 certification, state licensing. These can’t slip. Budget ongoing compliance as 5-10% of revenue. The Mistakes That Kill Healthcare Startups Mistake 1: Underestimating compliance costs. You budgeted $50K for HIPAA. Actual cost: $300K. You burn through runway trying to get compliant. Mistake 2: Trying to replace Epic. You built a better EHR. Hospitals don’t care. Switching costs are $50M. Build something that integrates with Epic instead. Mistake 3: Selling to hospitals when you should sell to practices. Hospital sales cycles are 24 months. You have 12 months of runway. Math doesn’t work. Sell to physician practices instead (6-month cycles). Mistake 4: Ignoring clinical workflows. Your software looks pretty but doesn’t match how nurses actually work. They hate it. Adoption fails. You get ripped out. Mistake 5: Overpromising implementation timelines. You said 6 months. Took 18 months. Customer tells everyone you suck. You can’t get reference calls. Sales pipeline dies. Should You Build Healthcare SaaS? Real Talk: Healthcare is brutal. But if you can execute, it’s incredibly lucrative. Build healthcare SaaS if: You have healthcare experience (worked in hospital, clinician background, or deep domain knowledge) You have $10M+ capital (sales cycles and compliance are expensive) You’re patient (this is a 5-10 year build, not a 2-year flip) You can handle heavy regulation (HIPAA, HL7, state licensing, ongoing audits) You’re building point solutions, not replacing Epic Don’t build healthcare SaaS if: You’re from pure tech background with no healthcare knowledge You’re bootstrapped or have <$5M (won’t survive the sales cycles) You need fast revenue growth (18-month sales cycles kill momentum) You’re trying to replace Epic head-on (you will lose) You hate regulation and compliance (you’ll be miserable) The companies that win in healthcare ( Epic , Veeva , Athenahealth , Nuance) are worth $5-30 billion. But hundreds of competitors tried and failed. The graveyard is full of well-funded startups that underestimated how hard healthcare is. Only enter healthcare if you’re prepared for the long, expensive, compliance-heavy journey. If you are, the market is massive and the companies that execute become incredibly valuable. Your call. Subscribe now Next week: Construction SaaS (the vertical where “nobody uses software” and Procore is worth $10B anyway). Building healthcare SaaS or tried and failed? Reply with your experience. These war stories help others avoid expensive mistakes. Ryan