ModMed

This is an EHR and practice management company adding an AI layer, not an AI native platform, and the distinction matters for a buyer. The core purchase is EMA or gGastro, a specialty specific cloud EHR with practice management, revenue cycle, analytics, and patient engagement. The AI is real and shipping, notably ModMed Scribe for ambient documentation and a set of assistants for scheduling, eligibility, prior authorization, and denial appeals, but a practice selects ModMed for the EHR and inherits the AI. Removing the AI leaves a substantial product; removing the EHR leaves nothing.

The review gate is stated explicitly and consistently, which is the right posture for documentation and coding. Scribe translates conversation into suggested visit notes, prescriptions, lab orders, and suggested ICD-10 codes, with the company stating the provider remains in control to review and approve them after. The company frames the broader assistant set as handling repetitive lower value tasks while keeping the practice fully in control of decision making. The assistants that execute multistep prior authorization and denial appeal workflows are the ones where autonomy is highest and published oversight detail is thinnest.

One unusually specific disclosure, and otherwise little. The company states Scribe was trained on real de identified clinical data sampled from over 750 million patient encounters and developed with on staff specialty physicians, which is a concrete and checkable provenance claim about training data that most scribe vendors do not make. No model architecture, foundation model provider, or accuracy benchmark is published, and the note that results may vary based on practice size and product usage is the only performance qualifier offered.

Evidence is customer anecdote and market ranking rather than measured study. The company claims specialty physicians finish notes in less than an hour, footnoted that results may vary, and publishes customer stories such as a practice saving two hours a day. Historical third party recognition exists in the form of top Black Book EHR rankings across dermatology, ophthalmology, plastic surgery, otolaryngology, and urology, but those rate the EHR rather than the AI. No controlled evaluation of documentation accuracy or time savings was located.

The training data disclosure is the substantive signal here: the company states Scribe was trained on de identified clinical data, which addresses the question buyers most often fail to ask a scribe vendor. As an EHR vendor the company is necessarily a business associate handling PHI at scale under existing customer agreements. What is not published is the AI specific stewardship posture, meaning retention of ambient audio, whether customer encounters feed future model training, and opt out mechanics.

No HIPAA or BAA statement was located in the public materials reviewed. As a certified EHR vendor serving thousands of United States providers, business associate status is structurally required and BAAs are certain to exist contractually, but the index grades published commitments rather than structural inference.

No SOC 2, HITRUST, or ISO 27001 attestation was located in public materials, and no trust center was found. Worth noting separately that ONC health IT certification, which an EHR of this scale carries, is a functional and interoperability certification rather than an information security attestation, and the two should not be conflated.

No FDA pathway applies to documentation, scheduling, or administrative automation. The relevant regulatory surface for this vendor is ONC health IT certification and the information blocking rules that attach to certified EHR technology, which is a different regime than the Software as a Medical Device pathway this axis is built to assess.

No AI governance framework or bias evaluation was located. The company uses the language of responsible management and keeping practices in control, which is positioning rather than a published program. Ambient documentation accuracy is known to vary with accent, speech patterns, and encounter complexity, and nothing published addresses whether that variation is measured.

The vendor is the EHR, which is the deepest possible integration and the core of the value proposition. The company states the AI is built directly into EMA with no additional software or integrations required, so approved note content flows into prescriptions and lab orders without a handoff, and clinical charts link directly to practice management and billing. Electronic prior authorization runs inside the EHR through a partnership arrangement, and the company is a member of CommonWell Health Alliance for external data exchange. The tradeoff a buyer should weigh is that this depth is only available by adopting the EHR itself.

Cloud based and iPad native by design, which the company states plainly as the delivery model. No data residency, tenancy isolation, or hosting detail was located beyond the cloud characterization.

No published pricing for the platform or the AI modules. The company directs buyers to contact sales for implementation packages and associated fees, and separately promotes conference rate offers, so a practice cannot estimate either license cost or the incremental cost of the AI layer without engaging sales.

Specialty depth is the company's central differentiator and it is substantiated. The company states it offers software for eleven medical specialties, with named specialty products and protocol libraries spanning dermatology, ophthalmology, orthopedics, gastroenterology through the separate gGastro platform, urology, otolaryngology, plastic surgery, pain management, allergy, OBGYN, and podiatry, and the scribe products are specialty tuned rather than generic. The setting is ambulatory specialty practice, from solo independents to large groups; this is not a hospital or health system product.