OmniMD

Graded on the platform not algorithm precedent applied to ModMed, Elation Health, Oracle Health and NextGen. OmniMD is a two decade old EHR, practice management and revenue cycle company; the AI suite arrived on top of that and the vendor says so directly, describing the AI tools as part of the platform rather than add ons negotiated separately or features behind an extra fee tier. The moat is the installed base and the integrated stack, not the model.

One reason to revisit: unlike a pure module, the scribe is also marketed as working with Epic, Cerner, eClinicalWorks and athenahealth, which is closer to the separately saleable position that earned Sunoh.ai an A. The grade describes the mechanism, not the quality.

The stated posture is explicit and conservative: doctors review and approve notes, and the vendor writes plainly that AI scribes are designed to assist rather than replace clinical judgment. That is more than several better funded competitors say. Two things hold it at B rather than higher. Notes push directly into the record with no copy and paste, which removes the natural pause that transfer based products preserve.

And the AI Clinician layer goes beyond documentation into risk flags, medication contraindication alerts and care suggestions, for which no confidence threshold, escalation path or accuracy figure was located.

One genuinely useful architectural disclosure sitting alongside inconsistent performance claims. On the useful side, OmniMD states that all audio processing and note generation occurs within its own HIPAA compliant infrastructure and that no patient audio or clinical data routes through third party consumer AI services.

That is a direct answer to the question this index now asks of every vendor in the lane, whose model is it, and it rules out the consumer API wrapper case even though it does not say what is used instead. Against that, accuracy is claimed at 98.65 percent on one page and 99 percent on another, with no methodology, reference standard or denominator for either, and no model card was located.

One statement here answers the question this axis asks, and it needs reading carefully because a qualifier is doing considerable work. The vendor states that all audio processing and note generation occurs inside its own compliant infrastructure and that no patient audio or clinical data routes through third party consumer artificial intelligence services.

That is a direct response to the whose model question and it rules out the case buyers most fear, a clinical product quietly forwarding encounters to a general purpose consumer service. It is worth crediting and few competitors of this size address it at all. The word to notice is consumer.

A commitment that content does not reach consumer services does not exclude enterprise model interfaces, which is where a healthcare vendor would send content if it were sending it anywhere, and those are contractually different products from the same providers rather than a different technology. The claim as written is therefore narrower than it reads, and it belongs in the same family as the carefully bounded promises recorded elsewhere in this index.

Nothing is named affirmatively either: no model, model family or provider, no hosting arrangement and no sub processor list was located. Ask whether any third party model interface of any tier is invoked, and for a sub processor list.

Deployment scale is real at more than 600 clinics, and there is a long operating history behind it, but neither is evidence of benefit. Every performance figure located is vendor generated and several use the unfalsifiable up to construction: documentation time reduced by up to 72 percent, charting accelerated 30 to 40 percent, more than five hours saved weekly, denial rates falling from an average 21 percent to under 4 percent. No study, controlled evaluation, accuracy benchmark or third party assessment located. Graded C on the standing precedent that scale of use does not substitute for evidence of benefit.

Better articulated than most at this size. The vendor commits that all audio processing and note generation occurs inside its own HIPAA compliant infrastructure, and specifically that no patient audio or clinical data routes through third party consumer AI services, which addresses a concern most buyers do not know to raise and most vendors do not answer. Held at B because no retention schedule for audio or transcripts, no de identification practice and no statement on whether customer data trains models was located.

States that the HIPAA business associate agreement is included at no extra cost, which is a more useful disclosure than it first appears: most vendors in this category address neither whether a BAA is available nor whether it carries a fee, and some gate it behind a higher tier. Held at B rather than A because the agreement still has to be executed and its terms are not published for inspection. Compare Doximity Scribe, graded A because coverage is automatic and universal with no separate step at all.

A second search overturns the earlier absence. The company states that it holds HITRUST certification and SOC 2 Type II alongside HIPAA compliance. Those are genuine independent examinations rather than self assertions, which separates this record from most of the small vendors in this category, and it is the right posture for a platform holding production records for a stated twelve thousand clinicians across six hundred facilities.

Three things hold it short of the top grade. The claim appears in the company's own blog material rather than on a compliance page or trust centre, so there is no dated report, no scope statement, and no mechanism through which a counterparty could request evidence. It is written as a compound, which leaves unresolved which certification covers which systems, and for a vendor selling an electronic record, a practice management system, revenue cycle services and a scribe, scope is the whole question. And the ONC certification this vendor also holds should not be read across: that is a functional certification of electronic record capability required for federal quality programmes, a different kind of object from a security attestation, and a compliance list mixing the two reads as more than it contains.

What the vendor publishes on infrastructure is unusually specific and worth crediting. It states that data is encrypted in transit and at rest with access logs and audit trails available for compliance review, and that all audio processing and note generation occurs inside its own infrastructure, with no patient audio or clinical data routed through third party consumer AI services. That last commitment answers the question this index asks first of any ambient scribe, and most competitors leave it unanswered entirely.

Ask for the dated reports and the scope each one covers.

No clearance claimed and none required for the documentation component. The base position holds for the scribe itself: it drafts, the clinician reviews and signs.

The flag raised in the earlier assessment is confirmed and is larger than that note could see. AI Clinician is described as surfacing risk flags, medication contraindications and care suggestions during the encounter, delivering evidence based recommendations at the point of care, surfacing relevant differentials from patient history and symptoms, supporting prescribing through contraindication alerts, anticipating complications and readmissions, and driving context aware ordering of labs, imaging and referrals. Differential generation, contraindication alerting, readmission prediction and order preparation are four distinct decision support functions and none of them is documentation.

The exemption that keeps clinical decision support outside United States device regulation turns partly on whether a professional can independently review the basis of a recommendation rather than relying on it. Nothing located describes what these recommendations are grounded in, how they are sourced, or what the clinician is shown to support them. That question should be put per function rather than about the platform as a whole, because a contraindication alert checked against a medication list and a readmission prediction produced by a model are different objects carrying different review requirements.

Coding is the second boundary and the vendor states it plainly. Documentation is described as billing ready with coding suggestions at the point of care, under the line that what you document is what gets coded. That is the closed loop from encounter to claim, presented as a feature.

A third surface sits alongside both: an AI front desk handling patient calls and intake, which is patient facing rather than clinician facing and carries a different safety posture again.

Note this is an ONC certified electronic record platform rather than a standalone scribe, so establish which modules are in contract rather than assessing the scribe in isolation.

Graded on incentive structure, and the structure here is tighter than anywhere else in this category. Because the EHR, practice management and revenue cycle are one platform, the vendor describes documentation feeding the coding, the coding feeding the claim, and denial data feeding back into the workflow with no manual work between vendors.

That is a closed loop from spoken word to submitted claim with no vendor boundary anywhere in it, and coding suggestions are delivered at the point of care rather than after the fact. The integration is genuinely valuable and it also removes every natural checkpoint where a separate party might question a code. No fairness statement, subgroup analysis or performance disclosure by language was located despite multilingual processing being marketed.

Two passes located no published limitations and no warranty, indemnity or remediation commitment, and the accuracy position is undermined by the vendor's own inconsistency. Accuracy appears as 98.65 percent on one page and 99 percent on another, with no methodology, reference standard or denominator for either.

Two different figures for the same product is a worse position than one undefined figure, because it establishes that at least one published number is not being maintained, and a buyer has no basis for choosing between them. The decimal place on the lower figure is also worth noticing: a number stated to two decimal places implies a measurement precise enough to warrant them, and no measurement is described.

The infrastructure commitment on the stewardship side is genuine and does not reach this axis, since keeping processing inside your own environment protects the content rather than standing behind the output. Ask which figure the vendor stands behind, what it measures and over what sample, and what the vendor commits to when a note is wrong.

Deepest inside its own stack, where notes push straight into the record with no copy and paste and documentation flows into billing without re entry. Beyond that, compatibility is claimed with Epic, Cerner, eClinicalWorks and athenahealth, which would make it more portable than a pure EHR module. Held at B because that cross platform depth was not documented or verified in this pass, and the architecture of those integrations is not described.

Fully cloud based with no on premise component, accessible from any browser, and unusually for this category the vendor states where processing happens: within its own HIPAA compliant infrastructure rather than routed to external AI services. Held at B because no hosting region, residency option or sub processor list was located, so the commitment is about which organisation processes the data rather than where.

Partial. A seven day free trial is published and the vendor states clearly that the AI tools are part of the platform rather than add ons behind an extra fee tier, which tells a buyer the shape of the commitment, and the BAA is confirmed as carrying no extra cost. What is missing is any number: no rate card, tier structure or per provider figure was located for either the platform or the scribe. Note also that managed billing services are offered alongside the software, so a full quote may combine licence and service fees.

Ambulatory and multi specialty, with specialty tuned templates named across cardiology, orthopaedics, ENT, obstetrics and gynaecology, internal medicine, radiology, paediatrics and pulmonology, plus urgent care and family practice among documented users. Speaker diarisation separates provider from patient voice, multilingual processing is supported, and an AI chart comparison feature summarises changes between visits side by side, which is a longitudinal capability few competitors offer. Held at B because no specialty count or language list is published.