Integrating AI Agents with eClinicalWorks

Four that matter, and they differ enormously in what they can do and what they cost you to run.

When a vendor says they integrate with eClinicalWorks, make them name the row. The word covers all four and the difference is the difference between an agent that knows who the patient is and one that types for you. We ask this question the same way on every platform, which is why the EHR integration pages all share a shape.

A lot, and you should have this in the open early. Sunoh.ai is an ambient documentation product that eClinicalWorks announced as developed by healow, its own patient engagement brand, and it is marketed as EHR agnostic. In practice you are evaluating a first party product against third party ones, inside a system the first party controls.

Sunoh publishes pricing, which is unusual and useful: its own pricing page lists 149 US dollars per user per month, described as a limited time rate reduced from 199. Verify the current figure on the vendor's page before you budget from it.

eClinicalWorks also sells healow Genie, an AI contact centre agent covering scheduling, refills, referrals and bill pay, and has announced practice deployments of it through 2025 and 2026. If your plan was a third party AI phone agent, that is the incumbent you are displacing.

None of this makes the first party product the right choice. It does mean two things. First, the incumbent has a distribution advantage that has nothing to do with note quality, so compare output on your own encounters rather than on a demo. Second, ask the third party vendors directly how their API access has behaved over the last year, because a platform that competes with its own ecosystem is a risk you are taking on, not one the vendor can absorb for you.

The practice does. A third party registers a developer application, and then each practice authorizes that application against its own data through OAuth. A vendor being registered tells you they have done the engineering. It does not mean anything is switched on for you.

Plan the sequence explicitly rather than discovering it:

• Name one person at the practice who owns the request. At a small group this is a decision, not a formality.
• Raise the request with eClinicalWorks and ask, in writing, what it costs and how long it takes. Published API fee schedules are not readily available, so get your own number.
• Run the business associate agreement in parallel, not afterwards.
• Agree what gets written back and into which fields, before go live rather than during it.
• Decide who tests it and against what. Ten real encounters beats a vendor demo.

We build this sequence into a deployment roadmap because it is where small practice projects stall, and the stall is almost never technical.

Reading is the easier half. The certified FHIR scopes cover the core clinical data set, which is enough for an agent to know who the patient is, what they are on and what happened last time. That is most of the value in a documentation or triage workflow.

Writing is where products diverge sharply and where vendors are vaguest. Ask three questions and do not accept a general answer to any of them. Which resource or interface does the note land through. Does it arrive as a draft the clinician signs, or as a finished document. And if the write fails at four in the afternoon, who finds out, and how.

The third question is the one that separates the tools that survive a year. An agent that fails silently is worse than no agent, because staff stop checking. If you are still shortlisting, the AI scribe comparison sets out what the categories actually differ on.

More than most practices use. Certified health IT has to publish its API documentation and terms, and the information blocking provisions constrain what a developer may do to obstruct access to electronic health information. If you are being quoted an access fee that feels arbitrary, or being told an integration is not possible without a reason you can follow, that is a conversation worth having with the rules in hand.

The HTI-1 rule is the current framing for certification, transparency and the decision support disclosures that apply when predictive functionality ships inside certified software. It is also the reason a certified vendor cannot simply decline to document its API.

This is leverage, not a lawsuit. Used early and politely it moves timelines. Used late it just makes everyone defensive.

Integration and compliance are separate approvals on separate clocks, and small practices routinely collapse them into one. Ask where audio and transcripts are stored, how long they are retained, whether your data trains shared models, and which subprocessors touch it.

eClinicalWorks has a documented compliance history that is worth knowing about rather than dwelling on: the company settled False Claims Act and Anti-Kickback Statute allegations with the Department of Justice for 155 million US dollars in 2017. That is old, it concerned certification claims rather than AI, and it does not tell you anything about a product shipping today. It is a reason to verify claims in writing rather than accept them in a call. The HIPAA and AI page lists what to insist on in the agreement.

Ambient documentation, almost always, because the workflow is contained and the person who benefits is the person doing the work. The failure mode is a bad draft that a clinician fixes, not a wrong action taken automatically.

After that, the phone. Ambulatory practices on eClinicalWorks tend to be drowning in inbound call volume, and scheduling is the highest volume, lowest risk thing an agent can take off the front desk. Note that this is exactly the workflow healow Genie targets, so you are choosing between an incumbent and a challenger rather than filling a gap.

Leave anything that orders, prescribes or acts without review to much later, and to a governance conversation rather than a procurement one.

If you want the money framing before the technical one, the ROI calculator shows its assumptions on the page so you can argue with them.

Decide the platform question before the product question. If you are going to end up on the first party stack for commercial reasons, find that out in week one rather than after a three month pilot with a third party.

Then run a narrow trial with real encounters, a named owner and a date you will decide on. Practices that skip the decision date do not fail, they drift, and drift costs more than a failed pilot because nobody ever writes it down as a loss.

The comparable platforms are worth reading alongside this one if you are also evaluating a move: athenahealth and NextGen face the same first party competition question with different answers. If you would rather not run the evaluation yourself, that is what our deployment roadmap engagement is for.