RevMaxx AI understands the context of each doctor–patient conversation — distinguishing speakers, identifying medical intent, adapting to specialty workflows, and applying accurate coding logic. This enables the generation of clinically structured, ready-to-sign notes rather than raw transcripts.

Clinician-Specific Templates Doctors can set preferred note structures, phrasing, and templates for SOAP notes. Example: Psychiatrist vs. cardiologist notes have different sections emphasized automatically. Speech & Style Adaptation The AI learns how each clinician speaks and tailors transcription and phrasing to match their style. Reduces editing time and maintains consistent documentation tone. Specialty-Aware Adjustments Adapts to different specialties (primary care, psychiatry, cardiology, home care, etc.) to ensure notes match typical workflow and regulatory needs. Coding Preferences Can prioritize specific coding approaches or billing rules per provider or practice. Workflow Integration Adapts to the way the clinician interacts with EHR and documentation tools, providing notes ready-to-sign with minimal changes.

RevMaxx leverages Ambient AI and historical clinical documentation patterns to anticipate provider documentation needs in real time. By analyzing ongoing patient-provider conversations, prior visit history, specialty-specific templates, and coding trends, RevMaxx proactively structures complete, compliant notes — reducing omissions and preventing under-documentation. The system can anticipate: Required clinical elements for accurate ICD/CPT coding Missing documentation that may impact reimbursement Follow-up care documentation prompts Risk-adjustment relevant data points Compliance-sensitive charting components Instead of reacting after chart completion, RevMaxx proactively ensures documentation completeness during the encounter — helping prevent revenue leakage, coding errors, and audit risks before they occur.

RevMaxx is designed to dynamically adapt to diverse clinical environments, specialties, and provider workflows. The system continuously refines its documentation output based on real-time interactions, provider editing patterns, specialty-specific requirements, and evolving compliance standards. RevMaxx flexibly accommodates: Different specialties (Primary Care, Behavioral Health, LTC, etc.) Varying documentation styles and note structures EHR-specific formatting requirements Changing coding and regulatory guidelines Individual provider preferences over time As clinical workflows evolve, RevMaxx adjusts accordingly — ensuring consistent documentation quality, compliance alignment, and operational efficiency without disrupting care delivery.

RevMaxx embeds unobtrusively into everyday clinical workflows, operating in the background without disrupting provider-patient interactions. The platform integrates directly with PointClickCare and Practice Fusion, ensuring documentation flows instantly into the EHR without additional clicks, logins, or manual transfers. Providers can continue using their existing systems while RevMaxx captures conversations and generates structured, compliant notes in real time.

RevMaxx is built with strong data protection frameworks to ensure full compliance with healthcare regulations, including HIPAA requirements. All patient data is encrypted in transit and at rest, with strict access controls to ensure that only authorized users can view or modify documentation. The platform maintains detailed audit trails to track user activity, documentation edits, and system interactions — supporting transparency, accountability, and regulatory readiness.

RevMaxx is designed to scale seamlessly from individual providers and single facilities to multi-location healthcare organizations and enterprise health systems. The platform supports deployment across outpatient clinics, long-term care facilities, behavioral health centers, and hospital networks — maintaining consistent performance and documentation quality at every level.

DeepScribe ambient AI understands and adjusts to different patient visit types, placing data into the right context. For instance, when a physician and patient discuss a condition during a follow-up visit, information from previous visits is automatically pulled forward into the current chart - but modified as needed within the context of the current conversation.

DeepScribe offers bi-directional integration to pull and push discrete field information with leading EHR systems including Epic, athenahealth, NextGen Healthcare, Veradigm, Ontada and more. This enables easier access to information that drives continuity of care.

DeepScribe’s ambient AI platform is HIPAA-compliant and SOC-2-certified. All data captured and processed by DeepScribe is encrypted using end-to-end AES-256 technology. To ensure data security and privacy, encrypted data is stripped of all personally identifiable information, ensuring patient information cannot be associated with an individual. DeepScribe also includes an additional layer of security to ensure any user accessing the platform is authorized to do so.

DeepScribe AI has been trained on the learnings from more than 5 million patient conversations. Clinicians simply need to have a conversation with the patient naturally during the encounter, moving through their workflow as they normally would. The ambient AI understands the details and nuances – including essential patient anecdotes – and generates a complete clinical note. The interface is highly regarded for its simplicity. Clinicians begin the encounter with just two taps, then hit one button to record, and another to “scribe” the visit.

DeepScribe was developed with scalability in mind, and supports rapidly increasing user bases at large health systems such as Ochsner Health, Texas Oncology, Covenant HealthCare. Regardless of the practice or organization size, the DeepScribe platform can onboard and accommodate a high volume of clinician users at one time.

The DeepScribe ambient AI platform is continuously learning via patient conversations and built upon a foundation of the largest clinical dataset in the category. In addition to refinements made within the AI model, DeepScribe clinical experts also collaborate with specialty care physicians to ensure each medical group’s workflow and needs are satisfied and reflected in the notes that are generated.