The first EHR is rarely the last EHR. Choose like you know that.
Most DTC telehealth founders pick their first EHR based on price, the demo experience, and what someone they trust used last time. Two years in, the same teams are quietly looking at migration paths because the program grew into something the original EHR cannot do well.
The problem is not that any of these EHRs are bad. It is that they were built for different program profiles, and DTC telehealth is one of the youngest profiles they all support.
This post compares the four EHRs that come up most frequently for DTC telehealth, with the trade-offs that actually matter once you are running real patient volume. It is opinionated, but it is opinionated by program profile, not by vendor preference. The right EHR for a 50-state cash-pay GLP-1 program is different from the right EHR for a hybrid primary-care clinic with longitudinal panels, and different again from a 503A compounded-peptide longevity program.
By the end of this you should know what to evaluate, what to test before signing, and what to plan for when (not if) you migrate.
The four candidates in one paragraph each
Healthie
A modern, API-first EHR purpose-built for digital health, telehealth, and outpatient care. Strong scheduling and payment infrastructure, clean charting, well-documented API, and broad integration ecosystem. Often the default first EHR for DTC telehealth founders. Less depth for complex chronic-disease care, hospital-style billing, or specialties with deep nuance (oncology, complex cardiology).
Elation
A primary-care EHR with a strong clinical interface and a notable presence in independent practices and group practices. Modern API, growing telehealth and DTC adoption. Good for programs that look more like virtual primary care than transactional DTC. Less native for pure ecommerce-style funnel integration but very strong for clinical workflows.
athenaOne (athenahealth)
An enterprise-grade ambulatory EHR with revenue cycle management, billing, scheduling, charting, and integrations at scale. Best fit for groups doing insurance billing at meaningful volume, multi-state practices with operational complexity, or DTC programs that intend to add insurance and Medicare/Medicaid plans. Higher cost, slower to configure, less flexible API surface than the newer entrants.
Canvas Medical
A developer-first EHR built around an open SDK, native FHIR, and a strong philosophy of programmable workflows. Allows custom care models that would be hard to express in other EHRs. Particularly attractive for technology-forward DTC brands, complex multi-program platforms, and teams that want to build differentiated workflows on top of the EHR rather than around it.
The 12 dimensions that actually matter
A scoring framework you can apply to any EHR shortlist. The dimensions are weighted unevenly because some matter much more for DTC telehealth than others.
| Dimension | Why it matters for DTC telehealth |
|---|---|
| Charting depth and provider UX | Provider speed and quality drive program quality. Slow charting kills programs. |
| API surface and webhook coverage | Determines how much you can build around the EHR (intake, CRM, billing, mobile app, automations). |
| Native scheduling and async support | DTC programs mix async and synchronous; the EHR has to handle both well. |
| ePrescribing and EPCS | Essential for any program prescribing controlled substances. |
| Pharmacy integrations and routing | Multi-pharmacy routing, status visibility, refill workflow. |
| Lab order and result integrations | Quest, Labcorp, in-home draw vendors (Getlabs, Function). |
| Billing and payment infrastructure | Subscription billing, cash pay, dunning, insurance, sliding fees. |
| Insurance and revenue cycle | Claims, denials, prior auth, eligibility. Not all programs need this, but if you do, it dominates. |
| Multi-state and licensure handling | Provider-state matrix, ability to constrain who can do what where. |
| Reporting, analytics, and exports | Operational and clinical reporting, plus the ability to get your data out. |
| Compliance and security posture | HIPAA, SOC 2, BAA terms, data residency, audit logs. |
| Roadmap and stability | Vendor health, release cadence, leadership stability. |
The scoring framework: for each EHR, score each dimension 1 to 5 against your specific program profile, then weight the dimensions based on what your program actually needs.
A 503A compounded longevity program might weight charting and lab integrations heaviest. A cash-pay GLP-1 program might weight API and pharmacy routing. A hybrid primary-care program would weight insurance and revenue cycle. The framework is the same; the weights are program-specific.
For the broader stack design pattern, see DTC Telehealth Tech Stack: What You Need Before Your First Patient Starts Care.
Healthie in depth
Healthie is the default choice for many digital health startups, and there are real reasons for that.
Where it shines:
- Modern UI for both providers and patients
- Patient portal (and mobile app) is competitive out of the box
- API is well-documented, GraphQL, with broad coverage
- Native scheduling, intake forms, charting, and messaging
- Billing and payments through Stripe integration are clean
- Strong ecosystem of integrators and a healthy partner network
- Pricing accessible to early-stage programs
Where it strains:
- Complex chronic-disease workflows feel bolted on (Healthie has improved here, but it is not the strongest fit for multi-condition longitudinal panels)
- Insurance and revenue cycle workflows are growing but not at parity with enterprise EHRs
- Custom workflows that require deep configuration may be limited compared with developer-first platforms
- Reporting can require API work to get the metrics you want
Best fit for:
- DTC telehealth programs in GLP-1, hair loss, sexual health, hormones, longevity, mental health
- Cash-pay or hybrid models with light insurance
- Teams that prioritize a fast, modern provider and patient experience
- Programs that need a strong foundation now and will integrate complexity later
For the deeper view on Healthie specifically, see How Healthie EHR Fits Into a Telehealth Workflow and How to Use Healthie Charting Notes in a Telehealth Workflow Without Creating Double Work.
Elation in depth
Elation has been the indie primary-care EHR for years and has moved deliberately into DTC and digital-first care.
Where it shines:
- Clinical UI is one of the strongest in the category. Providers like using it
- Strong primary-care problem-list management and longitudinal charting
- ePrescribing and EPCS workflows are mature
- Solid revenue cycle and billing infrastructure
- Reasonable API coverage, including FHIR
- Strong patient-portal experience
Where it strains:
- Less native for pure DTC funnel-style integration (intake form to charge to chart in seconds)
- Pricing higher than Healthie at scale
- DTC-specific workflows may require more configuration
Best fit for:
- Virtual primary-care programs
- Hybrid clinics with in-person and virtual care
- Specialty practices with longitudinal patient relationships
- Programs that want a clinician-first experience and have the budget
athenaOne in depth
The enterprise option. athenahealth is one of the most widely deployed ambulatory EHRs in the US, with infrastructure that scales.
Where it shines:
- Revenue cycle management at enterprise scale
- Insurance, Medicare, Medicaid, and complex billing workflows
- Multi-location, multi-state, multi-specialty handling
- Network-effect billing and clearinghouse infrastructure
- Reporting and analytics with depth
- Strong compliance posture
Where it strains:
- Provider UX is enterprise-grade rather than modern-startup
- Configuration takes time and is rarely something a small team can do quickly
- API surface is less developer-friendly than Healthie or Canvas
- Pricing is meaningful and the contracting cycle is long
- DTC-first workflows often have to be retrofitted on top
Best fit for:
- DTC programs that have grown into multi-state, multi-program operations with insurance billing
- Brands acquiring or partnering with provider groups
- Programs where revenue cycle complexity, not patient experience, is the bottleneck
- Teams that need enterprise SLAs and compliance posture
Canvas Medical in depth
The newest of the four to gain wide DTC adoption, with a sharply different philosophy from the others.
Where it shines:
- Open SDK with deep programmability
- Native FHIR, designed around interoperability
- Custom workflow development is a first-class capability, not a workaround
- Strong fit for technology-forward teams that want to differentiate at the workflow level
- Active ecosystem of plug-ins, scripts, and custom commands
Where it strains:
- Smaller user base than the others; some workflows are still maturing
- Requires more engineering investment to get full value
- Pricing model rewards teams that can build, less so teams that need turn-key
- Out-of-the-box patient portal and mobile experience may need customization
Best fit for:
- DTC platforms with strong engineering teams
- Brands building differentiated, multi-program care models
- Programs where the EHR is the platform, not a back-office tool
- Founders who explicitly want the EHR to be customizable as a build advantage
Side-by-side at a glance
Use this as a fast comparison. Weights depend on your program.
| Dimension | Healthie | Elation | athenaOne | Canvas |
|---|---|---|---|---|
| Provider UX | Modern, fast | Strong, clinical-first | Enterprise, dense | Modern, programmable |
| Patient portal and mobile | Strong out of the box | Strong | Functional, less modern | Customizable |
| API and developer experience | Strong (GraphQL, REST) | Solid (FHIR, REST) | Limited compared to others | Excellent (SDK, FHIR) |
| Scheduling and async | Strong | Solid | Solid | Configurable |
| ePrescribe and EPCS | Strong | Strong | Strong | Strong |
| Pharmacy integrations | Broad | Solid | Broad | Configurable |
| Lab integrations | Solid | Solid | Broad | Configurable |
| Billing and cash pay | Strong via Stripe | Solid native | Strong | Configurable |
| Insurance and revenue cycle | Growing | Strong | Excellent | Configurable |
| Multi-state handling | Good | Good | Strong | Configurable |
| Reporting and exports | Solid, sometimes API-required | Solid | Excellent | Configurable |
| Compliance posture | Strong | Strong | Strong | Strong |
| Pricing posture | Accessible at start | Mid-tier | Premium | Engineering-investment model |
The right answer almost always depends on the weights you bring to the table.
Pick by program profile
A practical shortcut. These are recommendations for the most common DTC telehealth starting points.
| Program profile | Recommendation | Why |
|---|---|---|
| Single-condition DTC (GLP-1, hair loss, sexual health) cash-pay, 0-3 states | Healthie | Fast time-to-launch, strong default patient experience, accessible pricing |
| Multi-program DTC, 5-20 states, cash pay with light insurance | Healthie or Canvas | Healthie if speed matters; Canvas if differentiated workflow matters |
| Specialty longitudinal care (longevity, HRT, complex menopause) | Elation or Canvas | Clinical depth, longitudinal charting |
| Hybrid in-person and virtual primary care | Elation | Clinical UX, problem-list management, billing |
| Multi-state, multi-program at enterprise scale with insurance | athenaOne | Revenue cycle, multi-state, compliance posture |
| Technology platform brand intending to build differentiated workflows | Canvas | SDK and FHIR-first |
| Controlled-substance heavy program (ADHD, low T, ketamine, buprenorphine) | Healthie or Canvas with strong EPCS and PDMP integration | EPCS workflow quality, integration maturity, customizable safeguards |
For the controlled-substance angle specifically, see DEA Telehealth Controlled-Substance Flexibilities Extended Through 2026.
What to test before signing
The vendor demo is not the test. A few weeks of structured trial work is.
Day-in-the-life simulation
Have a provider chart 10 to 20 synthetic patients across the program's actual workflows. Time each step. Compare to current state. Anything slower than current is a red flag at scale.
Funnel-to-chart trace
Run a synthetic intake from your existing intake form to a created patient record. Verify field mapping, missing data handling, deduplication, and the time from completion to provider review.
Pharmacy round trip
Send a real ePrescription to your intended pharmacy partner. Verify routing, error handling, EPCS workflow, and confirm status visibility downstream.
Lab round trip
Order a real lab. Verify order routing, result return, discrete data extraction, and trending on the patient chart.
API depth check
Run the actual integrations you need: CRM sync, intake form ingestion, billing webhook handling, patient portal sync, mobile app data feed. Build a small proof-of-integration in one to two weeks; if it is painful, it will be painful at scale.
Reporting access
Try to get the metrics you actually report on. Provider productivity, refill cadence, conversion-to-prescription, refund rate. If you cannot build these reports easily, the analytics layer is going to be expensive.
Migration plausibility
Confirm export paths, data formats, and what is retained. The contract should permit data export at reasonable cost, on reasonable timelines, in usable formats.
For the broader migration framework, see How to Migrate From a Fragmented Telehealth Stack Without Breaking Patient Experience.
The contractual layer
EHR contracts are easy to under-negotiate when the team is small and pre-launch. The terms that matter most:
- BAA terms consistent with your HIPAA posture
- Data export rights in usable formats at fair cost
- Termination and data-handling on contract end
- Pricing transparency for per-provider, per-patient, per-visit, transaction, and storage tiers
- Integration and API fees beyond the base subscription
- SLA on uptime, support response, and incident reporting
- Subprocessor list and notification for compliance posture
- Audit logs and patient-data access logs retention period and exportability
The cost of negotiating these well now is a fraction of the cost of fixing them later.
For the broader data ownership angle, see Data Ownership in DTC Telehealth: Questions to Ask Before You Choose a Platform.
When and how to migrate
Most DTC programs migrate EHRs at least once. The right time is rarely the easy time.
Signs migration is coming
- Provider productivity stalled despite headcount growth
- Reporting requires too many manual exports
- Insurance billing or revenue cycle limits are constraining program growth
- Custom workflow requirements no longer fit the EHR's model
- Integration breakage becomes routine
- Compliance posture cannot meet the next stage (enterprise customer, employer client, etc.)
How to migrate without breaking patient experience
- Migrate by cohort, not all at once
- Maintain dual writes for a period to ensure no data loss
- Verify each cohort migration before moving the next
- Coordinate provider communication and training tightly
- Preserve the patient-facing surface during the migration (do not change portal URL or app at the same time as the EHR)
- Keep the old EHR available read-only for an extended period for audit and continuity-of-care
For the broader change-management framing, see How to Migrate From a Fragmented Telehealth Stack Without Breaking Patient Experience.
Implementation checklist
Use this when running an EHR selection.
Define the program profile
- Program categories and scope
- Cash pay vs. insurance vs. hybrid
- States in scope at launch and target
- Provider model (W2, contractor, network)
- Controlled substance involvement
- Lab and pharmacy posture
Score the dimensions
- Score each EHR 1-5 across the 12 dimensions
- Weight the dimensions to match the program profile
- Identify the top two for deeper evaluation
Run the structured trial
- Day-in-the-life simulation
- Funnel-to-chart trace
- Pharmacy round trip
- Lab round trip
- API depth check with at least two real integrations
- Reporting access on the metrics that matter
- Migration plausibility check
Negotiate the contract
- BAA terms
- Export rights and pricing
- Termination and data handling
- Full pricing transparency
- Integration and API fee schedule
- SLA, audit logs, subprocessor list
Plan the future migration
- Document export paths from day one
- Maintain a clean data model that does not depend on EHR-specific quirks
- Keep integration surfaces decoupled where possible
Final takeaways
The four leading EHRs each fit a different shape of DTC telehealth program.
What to remember:
- Healthie is the default for DTC startups for good reasons: fast, modern, accessible, broad integrations
- Elation is the right choice when clinical depth and longitudinal care dominate
- athenaOne is the right choice at enterprise scale, particularly with insurance billing
- Canvas is the right choice for technology-forward teams that want to build the workflow
- The right answer depends on program profile, not on which vendor has the best demo
- Twelve dimensions and program-specific weighting beat checklist comparisons
- The vendor demo is not the test; a structured trial is
- The contract matters more than founders usually realize at signing
- Migration is a normal lifecycle event; design the integration surface so it is survivable
The brands that pick well at the start usually do two things: they choose by program profile honestly, and they design their stack so the EHR is one component, not the entire platform.
That second point is the durable one. The EHR that fits today will not fit forever. The stack that survives migrations is the one that was built with replacement in mind from day one.
Sources for the platform and selection references: