Epic now ships native AI charting, and ChatGPT plugs straight into the chart. If your HealthTech product is a thin AI layer on an EHR, the ground just moved. Here is what to build instead.
What Just Changed
Epic launched native AI charting earlier this year and has kept adding embedded AI features to its platform. On September 1, OpenAI announced that ChatGPT for Healthcare can connect to Epic, letting authorized clinicians pull appointment notes, labs, medications and specialist documentation into a single conversation. Health system CIOs are now asking a blunt question: with Epic-native tools, a general-purpose assistant and an ambient scribe vendor all pointing at the same workflow, which of these do we actually need?
For startups whose whole pitch was "we add AI to Epic," that is an uncomfortable question. The EHR vendor is moving from partner to competitor, and it controls the integration surface.
Why Thin AI Wrappers Get Squeezed
A product that summarizes notes, drafts documentation or answers questions over chart data has one real asset: access to the data through the EHR's interfaces. When the EHR vendor builds the same feature natively, and bundles it into a contract the hospital already pays for, procurement has little reason to add a second line item. Buyers also tell vendors that AI features alone no longer differentiate a product. They want measured outcomes, clear privacy terms and tools that fit how clinicians already work.
Where the Durable Value Sits
The startups that hold up tend to own something the EHR vendor is unlikely to build for a narrow audience:
- •Workflow depth in a specific specialty. Physical therapy, behavioral health, ambulatory surgery and specialty pharmacy all have workflows a general EHR handles awkwardly.
- •Data the EHR does not hold. Device streams, patient-reported outcomes, claims and operational data, joined into something a clinician can act on.
- •Integration and orchestration. Health systems now run several AI tools at once. Governance, audit trails and consent handling across them is a real problem, and not one any single vendor is motivated to solve.
- •Compliance as a product feature. With the proposed HIPAA Security Rule changes raising the floor on MFA, encryption and segmentation, a product that makes its buyer's audit easier has a concrete selling point.
Architecture Choices That Keep You Portable
If the integration surface can shift under you, design for it. Put EHR-specific code behind a thin adapter layer so FHIR, HL7 v2 and vendor APIs are swappable. Keep your own data model rather than mirroring the EHR's. Log every access to protected health information in a form a security questionnaire can consume. None of this is exotic, but retrofitting it after a health system asks for it costs far more than building it early.
Ontoborn works with HealthTech teams on exactly this: embedded engineers who build the integration layer, the compliance controls and the specialty workflows that make a product hard to replace, without the startup having to hire a full in-house platform team first.
A Practical Test
Ask three questions about your roadmap. Would the product still be useful if Epic shipped an equivalent feature tomorrow? Do you hold data or workflow that Epic does not? Could you swap your primary EHR integration in a quarter, not a year? If the answer to any of these is no, that is where the next round of engineering effort should go.
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