Before the visit
AI-supported patient intake, self-scheduling and patient portal tools help patients and staff prepare for the encounter.
PRAXIS AI · CLINICAL INTELLIGENCE + PRACTICE WORKFLOWS
AI-Powered EHR Software for Your Entire Medical Practice
From patient intake and self-scheduling to physician documentation, follow-up, patient communication and reporting, Praxis connects AI-powered tools across the medical practice. Its template-free Concept Processing learns from each physician’s work, while Reflective Ambient Intelligence™ (RAI) supports the clinical encounter with physician review and approval.
Looking for AI to help run your medical office? Praxis combines an AI-powered EHR with connected tools for front-desk workflows, clinical documentation, patient engagement, physician-directed follow-up and practice reporting. It is designed to support the work of the practice—not simply create an AI-generated note.
Patient intake & schedulingPhysician-specific AIAmbient clinical documentationFollow-up & reporting
ONE CONNECTED CLINICAL WORKFLOW
01
Your clinical knowledgeYour concepts, language, decisions and prior work
02
Concept Processing + RAIPhysician-specific learning meets ambient context
03
A physician-owned recordDocumentation, next steps and follow-up for review
Reflects, not just records.
A connected medical office
What can an AI-powered EHR do for your clinic?
A clinic needs more than an AI scribe. It needs the right information to move from patient to front desk to physician—and from the visit to the next action. Praxis brings together AI-supported capabilities across those steps, with clinical decisions and final documentation under physician control.
During the visit
Concept Processing recalls physician-specific clinical work; RAI supports encounter documentation for physician review.
After the visit
Praxis Agents and connected workflows support physician-directed tasks, communication and follow-up.
Across the practice
Datum+ and DataMiner support quality reporting and analysis of clinical information.
See how these features work together in your own specialty and office workflow. Request a Praxis demonstration.
See the technology behind the promise
See Praxis AI in action: Concept Processing and RAI
Don't settle for a polished AI-generated note. Ask to see how the same physician's prior work informs the next encounter, how ambient information is reconciled for review, and how decisions connect to follow-up.
Reflective Ambient Intelligence™ demonstration
Explore the official RAI explanation now, then request a live demonstration of ambient input, clinical-context reconciliation, physician correction and approval.
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Concept Processing: see the physician-specific workflow
See how Praxis retrieves relevant prior clinical work and adapts as the physician revises a new encounter.
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The difference physicians can feel
Less repetitive charting. More physician control. One connected AI EHR.
The value of an AI EHR is not how fast it produces a draft. It is how well it helps you finish the clinical work, in your own language, without losing control of the record.
Document your way
Use your own clinical concepts rather than forcing each encounter into someone else's fixed template. Praxis recalls relevant prior work that you can adapt.
Go beyond transcription
RAI is designed to connect ambient encounter information to physician-specific Concept Processing, with the clinician reviewing and approving the final record.
Connect the next steps
Bring intake, documentation, physician-directed follow-up, patient communication and reporting into a more continuous workflow.
Explore Praxis AI features
Praxis AI Features: Intelligence Throughout the Practice
Praxis begins with AI inside the clinical record. Its Concept Processor learns from your work; Reflective Ambient Intelligence™ brings that knowledge to the conversation. The connected tools then support patients, staff, follow-up and reporting. Explore the full suite below.
What is Praxis’s AI-powered EHR?
Praxis is a template-free electronic health record built around Concept Processing, which learns from each physician’s prior encounters. Its Reflective Ambient Intelligence™ (RAI) combines ambient encounter input with that physician-specific knowledge for clinician review. Connected features support intake, scheduling, patient communication, follow-up and analytics; the physician remains responsible for clinical decisions and the final record.
For physicians: the learning engine and its masterpiece
These are the core of Praxis’s template-free approach.
AI-Based Concept Processing
Praxis recalls your relevant clinical concepts, language and associated actions from prior encounters. Revise the case in your own words; your changes inform future similar visits. The system becomes more personal as you use it.
Reflective Ambient Intelligence™ (RAI)
Praxis native ambient AI meets the clinician-specific Concept Processor. RAI is designed to reflect the physician’s clinical rationale, terminology and intent in a note the physician reviews and approves.
For patients and the front desk: begin the visit intelligently
Reduce repeated questions and bring relevant information into the encounter earlier.
AI-Driven Patient Intake
Condition-relevant forms can adapt to patient responses and send information back to the clinical workflow, ready for clinician review.
AI-Powered Patient Self-Scheduling
Patients can book online while the practice sets rules for visit types, provider availability and appointment slots. Intelligent alternatives support rescheduling.
Intelligent Patient Portal with AI
AI-driven patient engagement keeps personalized instructions, tailored forms and secure communication connected to the patient’s record and the physician’s plan.
For clinical teams: share knowledge and close the loop
Turn the physician’s decision into coordinated, repeatable action.
Knowledge Exchanger
Share physician-created clinical concepts from Praxis’s AI-based learning workflow as a starting point, then adapt it to your own medical judgment and documentation style—not a rigid, one-size-fits-all template.
AI-Driven Praxis Agents
Set reminders and messages for staff, patients or providers. An Agent can activate later or when a defined condition is met, and alert the team when action is still needed.
For quality and population care: make clinical data useful
Datum+ and DataMiner
Embed discrete data within physician-authored text and query it for quality reporting, population health and research without forcing the clinical narrative into a grid of checkboxes.
From Clinical Thought to Completed Work
Praxis’s value comes from how these capabilities work together. Ask to see one encounter carried through intake, physician-reviewed documentation, orders, follow-up and reporting.
Praxis AI EHR Features at a Glance
What AI Features Does Praxis EMR Include?
Praxis combines AI-Based Concept Processing and Reflective Ambient Intelligence™ (RAI) with Knowledge Exchanger, AI-Driven Patient Intake, AI-Powered Patient Self-Scheduling, an Intelligent Patient Portal with AI, AI-Driven Praxis Agents, and Datum+ and DataMiner. These connected capabilities support physician-specific documentation, patient engagement, follow-up, and reporting; they do not all use the same AI technique.
Why Consider Praxis AI for an Independent or Specialty Practice?
Praxis’s template-free AI documentation learns from the individual physician’s clinical concepts and prior work rather than requiring one predefined documentation style. This makes it relevant to independent and specialty practices seeking physician-specific charting and connected patient workflows. Evaluate the fit using your own patient scenarios, specialty requirements, and review process.
Looking for the best AI EHR for your practice?
The best AI EHR depends on your specialty, workflow, clinical oversight needs, implementation requirements, and the quality of its EHR integration. This page explains Praxis’s AI capabilities. For evaluation criteria and comparisons, read our Best AI EHR guide.
AI EHR for physician-led care
AI-Powered EHR Software for Medical Specialties
Every specialty has its own documentation patterns, clinical decisions, and patient-care workflows. An AI EHR should support those differences rather than require every physician to follow identical templates.
Praxis uses physician-specific Concept Processing to recall and adapt each clinician’s own language, concepts, and prior work. Reflective Ambient Intelligence™ brings encounter information into that workflow for physician review. For family medicine and primary care, this approach can support longitudinal visits, preventive care, and chronic condition management. For rheumatology, cardiology, gastroenterology, neurology, and other specialties, physicians can evaluate how Praxis adapts to their recurring clinical documentation and decisions.
Explore Praxis EHR for family practice, compare AI EHR systems, or request a specialty-specific Praxis demonstration. Additional specialty links should be added only after Cristian verifies the intended live URLs.
The physician reviews the documentation and remains responsible for clinical decisions. Actual workflows and integrations should be confirmed in a live demonstration.
The native AI difference
Why Praxis’s native AI is different from an add-on scribe
An EHR can advertise AI because it has an ambient scribe, a chatbot, or a separate automation tool. Those tools may be genuinely useful. An added scribe can create a useful draft, but its integration with the underlying chart, orders, follow-up, and reporting varies by vendor. The physician still needs to verify clinical accuracy.
Praxis starts in a different place: its Concept Processor learns from the individual physician’s completed encounters and related work. RAI brings ambient input into that existing, clinician-specific workflow. Intake, Agents, portal communication, and Datum+ then connect the clinical plan to what happens before and after the visit.
In brief: Native AI in Praxis means the physician-specific learning engine is part of how the EHR documents and carries out care. An add-on AI scribe can speed up a note, but it does not by itself make the underlying EHR learn how you practice.
| Question to ask | Typical template-based EHR with a separate AI scribe | Praxis native AI workflow |
|---|---|---|
| What learns from the physician? | The scribe may learn a writing preference; the underlying chart may still follow predefined templates and fields. | Concept Processing adapts clinician-authored concepts and related actions across encounters. |
| What starts the note? | A form, a blank note, or a transcript-based draft, depending on the product. | The physician’s relevant prior clinical work and, with RAI, ambient context for review. |
| What happens after documentation? | Orders, messages, follow-up, and reporting may require separate steps. | Related actions, Agents, patient communication, and structured data can remain connected to the encounter. |
| Whose clinical style is preserved? | Depends on the scribe’s personalization and the EHR’s documentation constraints. | The clinician’s own language and decisions are the foundation of the knowledge base. |
EHR products differ substantially. This compares approaches, not every vendor’s implementation. The best test is to run the same encounter from intake through follow-up in each system.
Why that difference matters
Physicians do more than produce a note. They recognize a pattern, decide what is different, explain why a plan fits, order care, and arrange what happens next. The closer AI is to that complete process, the more useful it can become across repeated encounters. Its value should be judged by the work it removes while preserving clinical accuracy and physician control.
The foundation
AI-Based Concept Processing: Intelligence That Becomes Yours
A template starts with someone else’s idea of the visit. Concept Processing starts with yours. Praxis learns the concepts, language, and related actions you use in practice, then offers the closest relevant prior work when you see a new patient. You can change it; the system incorporates those changes for future encounters.
Recognize a familiar case
Bring forward the clinician’s relevant prior approach instead of rebuilding the note from blank fields.
Respect the difference
Revise what is different today. The note remains specific to this patient and subject to your review.
Get better with use
Praxis remembers the revisions and related actions, so future similar encounters can require less repetitive work.
New The centerpiece / Reflective Ambient Intelligence™
Reflects, not just records.
What is an ambient AI EHR—and how is Praxis different?
An ambient AI EHR uses information from the patient encounter to help create clinical documentation within an electronic health record. Praxis RAI is designed to connect that encounter information to the physician’s existing Concept Processing knowledge base rather than treat transcription as the finished clinical record. The physician reviews, corrects, and approves the result. Ask for a live demonstration to assess current functionality and workflow fit.
What Is Reflective Ambient Intelligence™ (RAI)?
Reflective Ambient Intelligence™ is Praxis’s ambient AI capability that connects encounter input with the physician-specific Concept Processor knowledge base. It is designed to reflect the clinician’s established language, clinical rationale, and medical decision-making in documentation the physician reviews and approves.
Many ambient scribes turn speech into a note draft. Praxis RAI is designed to bring ambient listening together with the physician’s Concept Processor knowledge base, so the documentation is informed by how that clinician has documented, assessed, and carried out care before.
What matters clinically is often the reasoning behind the words. RAI aims to preserve that rationale, the physician’s voice, and the link between assessment and plan. The physician reviews and approves the final record. No AI draft should be assumed accurate without review.
Hear the encounter
Ambient capture helps reduce manual entry during the patient conversation.
Reflect clinical context
Concept Processing supplies physician-specific prior knowledge and relevant patterns for the current visit.
Keep the doctor in control
The clinician checks the record, corrects it where needed, and decides what becomes part of the chart.
From first contact to follow-up
See the whole visit, not a collection of AI buttons
BEFORE THE VISIT
Understand the patient
Self-scheduling and tailored intake help collect relevant information in advance.
DURING THE VISIT
Stay with the conversation
Concept Processing and RAI support personalized, physician-reviewed documentation.
AFTER THE DECISION
Put the plan to work
Orders, instructions, portal communication, and Agents support next steps.
OVER TIME
Learn and measure
Knowledge Exchanger, Datum+, and DataMiner support shared expertise and reporting.
Explore Praxis AI in depth
From AI EHR features to clinical evidence and practical evaluation
Explore the technology, physician workflow, and independent research behind the questions raised on this page.
Reflective Ambient Intelligence™
Learn how Praxis connects ambient encounter information with physician-specific clinical context and clinician review.
How Concept Processing works
Understand the template-free foundation that learns from a physician's own documentation and revisions.
Best AI EHR systems
Compare selection criteria for AI-powered EHR software, including documentation, integration, review, and workflow fit.
For independent studies and Praxis technical papers, see the section below.
AI in medicine
Understand the promise, limits and clinical responsibility of AI
Explore physician-specific learning, ambient documentation, clinical accuracy, privacy and responsible evaluation. Start with original Praxis technical work and independent research—then compare how these ideas are applied in a real clinical workflow.
Concept Processing: the clinical foundation
How physician-authored concepts differ from static templates.
Read the technical overviewRAI and physician review
How ambient information is designed to connect with a physician-specific knowledge base.
Explore RAIClinical AI evidence and safety
Review published ambient documentation research and Praxis technical papers.
For Cristian: A separate, publication-ready AI in Medicine hub draft is supplied with this update. Publish it at a confirmed URL and then add a contextual link here; do not link to an unpublished page.
Questions physicians ask
AI EHR frequently asked questions
What makes Praxis an AI-based EHR?
Its Concept Processor learns from each clinician’s documentation and related actions inside the clinical workflow. RAI connects that foundation to ambient input; Agents, intake, scheduling, portal communication, and Datum+ extend intelligence and automation across the practice. These features do not all use the same AI technique.
Is RAI the same as an ambient AI scribe?
No. Both use ambient input, but RAI is designed to connect the encounter with the clinician’s own Concept Processor knowledge base. The physician reviews and approves the final chart.
Why is native AI different from an AI scribe added to a template EHR?
An add-on scribe may draft notes efficiently, yet the EHR underneath may still depend on predefined forms and separate actions. In Praxis, clinician-specific Concept Processing is part of the documentation and associated workflow itself. Compare the entire encounter, including orders and follow-up, to see the practical difference.
Can adding an AI scribe make a template EHR worse?
It can add reconciliation work if generated prose must be checked against rigid fields, copied text, and separate orders or follow-up tasks. It can also save time when integration is well designed. Judge the complete workflow and note quality in a live demonstration rather than assuming either result.
What is the difference between an EMR and an EHR?
An EMR is the clinical record used within a practice; an EHR also supports information exchange across care settings. Praxis is a fully certified EHR under the ONC Health IT certification program, but we call it Praxis EMR to emphasize a record built around the physician’s work and clinical judgment. See Praxis certification details.
Does Praxis use templates?
Praxis uses a template-free clinical documentation approach. It can reuse clinician-authored concepts and adapt them to a new encounter without making a rigid form the starting point.
Are rules and machine learning the same thing?
No. Boolean logic executes explicit true-or-false conditions. Machine learning estimates patterns from examples. Concept Processing is Praxis’s proprietary clinician-specific learning architecture, and Praxis’s published descriptions do not say its core operates through Boolean logic. Different features can use different techniques.
Is Boolean logic part of Concept Processing?
Praxis’s published descriptions do not identify Boolean logic as the core mechanism of Concept Processing. Boolean conditions can support defined rules in software, but Concept Processing is described as learning and reusing a physician’s own clinical concepts and work.
Can AI replace the clinician’s judgment?
No. Clinical decisions and final documentation remain the physician’s responsibility. Praxis is designed to support that work and reduce repeated administrative steps.
How can I evaluate Praxis against another AI EHR?
Use the same patient scenario in both demonstrations. Compare whether the system adapts to your words and decisions, what happens after the note, and how the clinician checks the resulting record.
In the words of a Praxis physician
Physician-designed intelligence, grounded in clinical experience
“It is an artificial intelligence engine whose knowledge is derived from the physician-user.”
Clayton Reynolds, M.D. · Lakeside Medical Associates, Lancaster, California
This is an existing physician testimonial about Praxis's Concept Processing approach, not a review of the newer Reflective Ambient Intelligence (RAI) feature. Read the original testimonial and other physician experiences →
Independent physician review · Software Advice
“The logic of the concept processor which allows me to build my assessments based on the way that I think.”
Catherine C. · Verified reviewer · Medical practice · January 2026 · 5/5 overall rating
This independent Software Advice review discusses the Concept Processor; it is not a review of Reflective Ambient Intelligence (RAI). Read the original Software Advice review →
Physician testimonial · Praxis family practice case study
“Praxis is dynamic software. It grows and learns as you do and as medical literature changes and is updated.”
Steven McKenzie, M.D. · Family Practice · Valley Medical Family Practice, Hemet, California
Dr. McKenzie discusses the learning capabilities of Praxis and individualized documentation in his case study. This is an established Concept Processing testimonial, not an endorsement of the newer RAI feature. Read Dr. McKenzie's case study →
Physician testimonial · Published Praxis physician statement
“Praxis keeps getting better the more I use it.”
John Davis, M.D. · Family Medicine · Grayson Valley Family Medicine, Birmingham, Alabama
Dr. Davis describes the system's continued improvement with use. This historical testimonial concerns Praxis EMR and Concept Processing, not the newer RAI feature. Read the published physician statement →
Physician testimonial · Published Praxis review
“Praxis learns from how I use it.”
Michael Gnatt, M.D. · Gnatt Medical Associates · Rockville, Maryland
Dr. Gnatt describes physician-specific learning and freedom from fixed templates. This is a historical Concept Processing testimonial, not a review of RAI. Read Dr. Gnatt’s published review →
Physician testimonial · Praxis specialty review
“Praxis grows with your knowledge, and learns just as fast as you do!”
Heidi Heras, M.D. · Otolaryngology
Dr. Heras describes how Praxis adapts alongside the clinician. This is a historical Concept Processing testimonial, not a review of RAI. Read Dr. Heras’s published testimonial →
Evaluate the evidence
Don't take an AI EHR claim on faith. Ask to see it work.
A meaningful demonstration should show how the system handles a real clinical scenario, including what the physician changes and what happens after documentation.
1. Start with your encounter
Bring a familiar patient scenario and ask Praxis to show how Concept Processing recalls relevant prior clinical work.
2. Review and correct the AI
See how RAI-supported content is reviewed, revised and approved by the physician.
3. Follow the plan through
Ask to see selected orders, follow-up reminders, patient communication and reporting workflows supported by your configuration.
The examples on this page describe product design and possible workflows; they are not independently measured savings claims. Availability depends on configuration and release status. Ask for a current live demonstration of any feature important to your practice.
See How Praxis AI Learns the Way You Practice Medicine
Bring your specialty questions and a realistic patient encounter. See how Concept Processing adapts to physician-authored work, how Reflective Ambient Intelligence™ supports documentation for your review, and how connected tools help carry the plan through follow-up.
Schedule Your Praxis AI EHR Demo