What is an AI EHR?

Three ways to get AI into the EHR

"AI EHR" covers three different purchases. They differ on one question: does your chart move?

1. AI features inside the EHR you have. Your current vendor adds search, summaries or an ambient scribe. The record stays. The AI suggests; staff still finish the task.
2. An AI-native EHR. A new record built around AI. Documentation, coding and patient messages run inside it. You migrate your chart to get it.
3. An agentic layer on the EHR you keep. AI agents work in your existing EHR: they answer the phone, book into your schedule, file the fax to the chart and push the note back. The record stays. The agent finishes the task.

For a side-by-side of the second and third paths with a named vendor, see Caesar Health vs Athelas.

AI EHR vs. AI EMR

HealthIT.gov describes an electronic medical record as "a digital version of the paper charts in the clinician’s office." An electronic health record goes further: EHRs "are built to share information with other health care providers, such as laboratories and specialists" (HealthIT.gov).

In practice, and in how vendors sell AI, "AI EMR" and "AI EHR" name the same product. This page uses EHR.

What makes an EHR agentic?

An AI feature suggests. An agent finishes.

A system counts as agentic when it passes three tests:

1. It completes the task end to end. The visit is booked, not proposed. The fax is filed to the right chart, not flagged.
2. It writes the result into the EHR. The appointment is in the schedule. The note is in the chart. Work that stops at a dashboard is a suggestion someone still has to key in.
3. It fails into a named queue. When the agent is unsure, the task lands with a person, with the reason attached. Silent failure disqualifies it.

Autonomy is set per workflow: suggest, act with review, or act and escalate exceptions. See autonomy levels and agentic clinic operations.

What an agentic EHR does in a clinic day

• Phones. Answers every call, books, reschedules and cancels against live availability in the EHR. See Phone Agent.
• Text messages. Confirms, reminds and answers patient texts. See SMS.
• Fax and documents. Reads each inbound fax, identifies the patient and files it to the chart. See Document Inbox.
• Intake. Collects forms, consents, insurance and ID before the visit. See patient intake.
• Documentation. Drafts the note from the visit and turns it into orders, prescriptions, referrals and discrete fields. See AI Scribe and clinical documentation.
• Revenue cycle. Coding, prior authorization and denial work. See revenue cycle and prior authorization.

What the rules say about AI in the EHR

Certification. The ONC Health IT Certification Program "ensures that Certified Health Information Technology meets the technological capability, functionality, and security requirements adopted by the U.S. Department of Health and Human Services" (HealthIT.gov). Certified products are listed on ONC’s Certified Health IT Product List.

AI transparency in certified EHRs. ONC’s decision support interventions criterion, § 170.315(b)(11), defines a predictive decision support intervention as "technology that supports decision-making based on algorithms or models that derive relationships from training data and then produces an output that results in prediction, classification, recommendation, evaluation, or analysis." If a developer supplies one in a (b)(11)-certified product, "the developer must include source attributes and other requirements for that Predictive DSI" (HealthIT.gov). Source attributes describe how the model was built, tested and kept current.

Medicare programs. CMS’s Promoting Interoperability program works "through the use of certified electronic health record (EHR) technology (CEHRT)" (CMS). Clinicians report it through the MIPS Promoting Interoperability performance category. Billing chronic care management requires recording the patient’s demographics, problems, medications and allergies "using a version of certified electronic health record (EHR)" (CMS, MLN909188, June 2025).

What follows for a practice that bills Medicare: keep a certified EHR as the record. AI can run beside it, or inside it, without changing that.

Replace your EHR or add agents to it?

An AI-native EHR fits when:

• you are opening a new practice and have no chart to move
• your current EHR is being retired or no longer meets your needs
• you have the time and staff for a migration and retraining

An agentic layer fits when:

• you bill Medicare and rely on a certified EHR for MIPS or CCM
• your history, templates and staff habits live in the EHR you run
• you run more than one EHR across sites
• you want one workflow working this month, not a migration this year

Both are honest bets. Say out loud which one you are making before the first demo.

Questions to ask any AI EHR vendor

1. Does my chart move? If so, what comes across and what stays behind?
2. Is the product on ONC’s Certified Health IT Product List, and for which criteria?
3. Which tasks does the AI finish, and which does it only suggest?
4. Where does a task go when the AI is unsure? Who sees it?
5. Can I see what the AI decided on each task, and why?
6. Does the result land in my EHR, or in a separate dashboard?
7. Will you sign a business associate agreement?
8. For predictive features, where can I read the source attributes?

Where Caesar Health fits

Caesar Health is an agentic layer, not an ONC-certified EHR. Its AI agents work inside the EHR a practice already runs and write the result back: the booking into the schedule, the fax into the chart, the note and its orders into the encounter.

Practices that bill Medicare keep their certified EHR as the record. Caesar runs the work around it.

A new cash-pay practice with no EMR can start on Caesar’s chart. See direct primary care software.

Current EHR coverage is at integrations. The agent lineup is at AI agents. How the connection works is at EMR integration.