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.

Sickbay collects, integrates, & displays time-aligned medical device data for over 30k signals. Information is displayed to end users in near real-time (~25ms) on local and mobile devices.

Sickbay's Patient Monitor (PatMon) displays per patient waveform and EHR data alerting clinical end users based on parameters defined by the hospital. Sickbay's Multiple Patient Monitor (MultiMon) displays that same information for up to 100 patients on a single screen to support virtual monitoring at scale. Sickbay's Risk Stratification module displays risk score data customized per hospital to improve awareness of patient risk in higher acuity beds. Sickbay's Alert Queue module displays alerts for telemetry patients that have been newly admitted, shift changes, dietary requirements, and rhythm validation.

Sickbay integrates EHRs using interfaces for ADT information, staffing assignments, meds, & labs. Sickbay integrates directly into the EHR to automate the capture and storage of ECG strips on the patient's record without additional, time-consuming, error-prone manual steps.

Sickbay simplifies the clinical theater by centralizing patient monitoring data from devices, EHRs, camera-enabled technology, and 3rd party analytics into a single screen. This enhances the readability and interpretation required to reduce the time-to-treat a deteriorating patient. Sickbay's interface is shared between bedside and remote care teams to drive scale and efficiency. This approach reduces the risk associated with new nursing team members on staff and improves the training / onboarding by using a single platform for patient monitoring. Sickbay's analytics workbench directly connects clinical researchers with bedside teams to develop and implement custom algorithms for specific patient cohorts in near real-time.

Sickbay integrates camera-enabled technology into a single interface alongside near real-time physiological data to provide remote care teams with video support to reduce patient risk and improve the time-to-treat for patients that are deteriorating.