Ona Health vs Canvas Medical (2026): Which Fits Your Practice?
Ona Health vs Canvas Medical (2026): ready-to-run AI-native all-in-one platform vs a programmable, developer-first EHR. Fit guidance + pricing.

Ona Health and Canvas Medical are both modern, AI-forward platforms, but they solve different problems. Ona is a ready-to-run, AI-native, all-in-one practice management platform you can start using in days. Canvas Medical is a programmable, developer-first electronic health record (EHR) you configure and extend with code. Your engineering capacity decides the better fit.
Quick answer:
- Ona Health is a ready-to-run, AI-native, all-in-one practice management platform - it works out of the box, no developers required.
- Canvas Medical is a programmable, developer-first EHR - powerful if your team writes code, heavier if it does not.
- Choose Ona to start seeing patients in days; choose Canvas if you have engineers and want to build a custom care model.
The core difference: out-of-the-box vs build-it-yourself
Both platforms are modern and AI-forward, and both center care on a single patient record. The split is in how you get there.
Ona Health ships as a finished product. CRM (customer relationship management), EHR, and RCM (revenue cycle management) live in one system, with 19 tools - scheduling, intake, charting, telehealth, e-prescribing, billing, and insurance - already wired together. You turn features on in the interface and start working. There is nothing to build and no integration project to run.
Canvas Medical takes the opposite approach. It is a FHIR-native (Fast Healthcare Interoperability Resources) EHR that you extend with code. Canvas gives developers a bidirectional FHIR API (application programming interface) and a Workflow SDK (software development kit) to define, scale, and update custom clinical, operational, and financial workflows and decision support. That flexibility is the point: Canvas is designed for teams building a specific, differentiated care model on top of a composable platform.
Neither approach is universally better. The right one depends on whether you have engineering capacity - and whether you want to spend it on software rather than on patients. A three-provider clinic and a venture-backed virtual-care startup will read that trade-off very differently.
What Canvas Medical does well
Canvas Medical is a strong fit for organizations that treat their care model as a product. If you employ developers, its composable architecture lets you program workflows, decision support, and integrations directly against the record, instead of filing feature requests and waiting on a vendor roadmap.
Verified strengths from canvasmedical.com:
- A FHIR R4 API with bidirectional clinical and financial endpoints for scheduling appointments, completing questionnaires, checking eligibility, and submitting claims.
- A Workflow SDK and plugin system for building custom automations and decision support.
- AI agents including Hyperscribe (clinical documentation), a Claim Coding Agent for revenue cycle work, and a Parsing Agent for labs and documents.
- Unlimited users on every plan, with pricing based on monthly active patients rather than per seat.
If a health-tech startup or a scaling medical group wants to own its workflows and has engineers to maintain them, Canvas is built for exactly that. The cost is that the platform expects developer time; the value it unlocks scales with how much you are willing to build.
What Ona Health does well
Ona Health is built for practices that want the software to work on day one. It is an AI-native, all-in-one practice management platform, and every feature is available on every plan - no build phase, no integration backlog.
Where Ona leads for out-of-the-box teams:
- One patient record spanning front office, clinical, operations, and patient engagement, so there are no seams to stitch together.
- AI in the base plan: an ambient AI scribe that drafts the note from the visit, automated charting on your own templates, conversational intake, and an AI receptionist that answers calls 24/7 and books on your live calendar. Every AI draft is reviewed and signed by a clinician.
- Embedded DoseSpot e-prescribing (with EPCS - electronic prescribing of controlled substances), Fullscript for labs and supplements, LiveKit telehealth, and Stripe billing - already connected, nothing to wire up.
- Free data migration from any EHR within one business day, plus a 14-day free trial with no credit card required.
For a solo clinician or a growing practice without a software team, that means seeing patients in days, not quarters. Our guide to the best AI-native practice management platforms puts this approach in context alongside other tools in the category.
Head-to-head: Ona vs Canvas Medical
| Dimension | Ona Health | Canvas Medical |
|---|---|---|
| Product model | Ready-to-run, out-of-the-box all-in-one platform | Programmable, developer-first EHR you build on |
| Engineering needed | None - configure in the interface | Yes - Workflow SDK and FHIR API for custom workflows |
| AI features | Ambient scribe, automated charting, AI receptionist, conversational intake (base plan) | Hyperscribe, Claim Coding Agent, Parsing Agent |
| All-in-one scope | CRM, EHR, RCM, scheduling, billing, insurance, telehealth in one record | Composable EHR core; you assemble and extend workflows |
| Pricing | Per-seat (2 practitioner + 1 staff = $305/mo); 14-day free trial | Builder $4,000/mo (per canvasmedical.com); monthly-active-patients model, 2-year term |
Pricing compared
The two platforms price on different units, so compare each against your own shape.
Ona uses transparent per-seat pricing. On the calculator at ona.health/pricing, 2 practitioner seats plus 1 staff seat come to $305/mo (practitioner seats $130/mo each, staff seats $45/mo). Add-ons switch on as you grow: the AI receptionist is $499/month including 1,500 minutes, and e-prescribing is +$45 per prescribing practitioner. Every core feature, including the AI capabilities, is in the base plan at no extra cost, and there is no annual lock-in to start.
Canvas Medical prices on monthly active patients. Its published Builder plan is $4,000/month with unlimited users and the first 1,000 monthly active patients included; the Enterprise plan is custom. Canvas bills only for patients engaged in care, and its standard contract runs a two-year initial term. See canvasmedical.com/pricing for current figures.
For a small, lower-volume practice, Ona's per-seat model usually starts lower and carries no multi-year commitment. For a high-volume, developer-led organization spreading cost across many patients and unlimited users, Canvas's patient-based model can make sense.
Which should you choose?
Pick Canvas Medical if you have engineers, want to program a bespoke care model, and see your EHR as a platform to build on. Pick Ona Health if you want a complete, AI-native system running this week without hiring developers, with clear per-seat pricing and free migration. Most solo and small-to-midsize practices - and most clinicians who would rather adjust a setting than ship code - fall into the second group. The honest test is simple: do you want to build your software, or use it?
Frequently asked questions
Is Canvas Medical a programmable EHR?
Yes. Canvas Medical is a FHIR-native (Fast Healthcare Interoperability Resources) electronic health record built for developers. It exposes a bidirectional FHIR API (application programming interface) and a Workflow SDK (software development kit) so teams can define, extend, and automate custom clinical, operational, and financial workflows with code.
Do I need engineers to use Ona Health?
No. Ona is a ready-to-run, AI-native, all-in-one practice management platform. Every feature is available on every plan, you configure it in the interface, and Ona helps migrate your data from any EHR at zero cost within one business day. There is a 14-day free trial with no credit card required.
How much does Canvas Medical cost?
Canvas Medical's published pricing lists a Builder plan at $4,000/month (unlimited users, first 1,000 monthly active patients included) and an Enterprise plan with custom pricing. Canvas bills on a monthly-active-patients model and its standard contract is a two-year initial term. See canvasmedical.com/pricing for current pricing.
What AI features does each platform include?
Canvas Medical offers AI agents including Hyperscribe for clinical documentation, a Claim Coding Agent for revenue cycle work, and a Parsing Agent for labs and documents. Ona includes an ambient AI scribe, automated charting, an AI receptionist that answers calls 24/7, and conversational intake - all in the base plan at no extra cost.
Which is better for a small practice that wants to start fast?
For a solo or small practice without engineering resources that wants a full system working in days, Ona's out-of-the-box, all-in-one approach and per-seat pricing usually fit better. Canvas suits teams that have developers and want to build a differentiated, programmable care model.
Next step
See Ona running your workflows before you decide. Book a 15-min walkthrough - no obligation and we will show the AI receptionist, ambient scribe, and one connected patient record end to end. Prefer to try it first? Start the 14-day free trial - no credit card required - and Ona migrates your data from your current EHR at zero cost within one business day.

Written by
Ona Health team